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ORCID31st EUSIPCO 2023: Helsinki, Finland
- 31st European Signal Processing Conference, EUSIPCO 2023, Helsinki, Finland, September 4-8, 2023. IEEE 2023, ISBN 978-9-4645-9360-0
- Nour Hobloss, Joshua Maraval, Jérôme Fournier, Nicolas Ramin, Lu Zhang:
MUSE: A Multi-view Synthesis Enhancer. 1-5 - Virginia Bordignon, Mert Kayaalp, Vincenzo Matta, Ali H. Sayed:
Social Learning with Non-Bayesian Local Updates. 1-5 - Xueqin Luo, Gongping Huang, Jingdong Chen, Jacob Benesty:
On the Design of Robust Differential Beamformers with Uniform Circular Microphone Arrays. 1-5 - Xiaoquan Li, Stephan Weiss, Yijun Yan
, Yinhe Li, Jinchang Ren, John J. Soraghan, Ming Gong:
Siamese Residual Neural Network for Musical Shape Evaluation in Piano Performance Assessment. 1-5 - Emmanuel Martínez, Jorge Bacca, Tatiana Gelvez-Barrera, Henry Arguello:
ReDIP: Rethinking Deep Image Prior for Compressive Spectral Imaging Calibration. 1-5 - Arnab Neelim Mazumder, Niall Lyons, Ashutosh Pandey, Avik Santra, Tinoosh Mohsenin:
Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach. 1-5 - Fan Zhang, Chao Pan, Jacob Benesty, Jingdong Chen:
Simplified Maximum SNR Beamformers with Spatial Coherence Matrix Modeling. 6-10 - Tobias Gburrek, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
On the Integration of Sampling Rate Synchronization and Acoustic Beamforming. 11-15 - Jinfu Wang, Feiran Yang, Jianfeng Guo, Jun Yang:
Robust Adaptation Control for Generalized Sidelobe Canceller with Time-Varying Gaussian Source Model. 16-20 - Shuming Luan, Yukoh Wakabayashi, Tomoki Toda:
Sound Field Interpolation with Unsupervised Calibration for Freely Spaced Circular Microphone Array in Rotation-Robust Beamforming. 21-25 - Shekhar Kumar Yadav, Nithin V. George:
Speech Enhancement via Maximum Likelihood Modal Beamforming with Complex Gaussian and Laplacian Priors. 26-30 - Esteban Gómez, Mohammad Hassan Vali, Tom Bäckström:
Low-Complexity Real-Time Neural Network for Blind Bandwidth Extension of Wideband Speech. 31-35 - Paul Magron, Tuomas Virtanen:
Spectrogram Inversion for Audio Source Separation via Consistency, Mixing, and Magnitude Constraints. 36-40 - Yichen Yang, Xianrui Wang, Andreas Brendel, Wen Zhang, Walter Kellermann, Jingdong Chen:
Geometrically Constrained Source Extraction and Dereverberation Based on Joint Optimization. 41-45 - Pedro J. Villasana T., Janusz Klejsa, Lars F. Villemoes, Per Hedelin:
Distribution Preserving Source Separation with Time Frequency Predictive Models. 46-50 - Yoshiaki Bando, Yoshiki Masuyama, Aditya Arie Nugraha, Kazuyoshi Yoshii:
Neural Fast Full-Rank Spatial Covariance Analysis for Blind Source Separation. 51-55 - Huaibo Zhao, Yosuke Higuchi, Yusuke Kida, Tetsuji Ogawa, Tetsunori Kobayashi:
Mask-CTC-Based Encoder Pre-Training for Streaming End-to-End Speech Recognition. 56-60 - Kishor Kayyar Lakshminarayana, Christian Dittmar, Nicola Pia, Emanuël A. P. Habets:
Low-Resource Text-to-Speech Using Specific Data and Noise Augmentation. 61-65 - Dushyant Sharma, Francesco Nespoli, Rong Gong, Patrick A. Naylor:
Canonical Voice Conversion and Dual-Channel Processing for Improved Voice Privacy of Speech Recognition Data. 66-70 - James Fosburgh, Dushyant Sharma, Patrick A. Naylor:
Room Adaptation of Training Data for Distant Speech Recognition. 71-75 - Shoko Niwa, Sayaka Shiota, Hitoshi Kiya:
A Privacy-Preserving Method Using Secret Key for Convolutional Neural Network-Based Speech Classification. 76-80 - Florian Hilgemann, Peter Jax:
Adaptive Feedback Active Noise Control by Robust Controller Interpolation. 81-85 - Felix Albu, Marius Giorgian Ionita:
Efficient Affine Projection Tanh Algorithm for Acoustic Feedback Cancellation. 86-90 - Tobias Kabzinski, Florian Hilgemann, Peter Jax:
Design of Crosstalk Cancellation Filters: Combining Inverse Filtering and Optimal Control. 91-95 - Takaaki Kojima, Kazuyuki Arikawa, Shoichi Koyama, Hiroshi Saruwatari:
Multichannel Active Noise Control with Exterior Radiation Suppression Based on Riemannian Optimization. 96-100 - Yurii Iotov, Sidsel Marie Nørholm, Valiantsin Belyi, Mads Græsbøll Christensen:
Non-Stationary Prediction for Addressing the Non-Causality Problem in Fixed-Filter ANC Headphones for Speech Reduction. 101-105 - Christoph Weyer, Florian Hilgemann, Peter Jax:
Empirical Analysis of Waterbed-like Performance Trade-Off for a Feedforward Occlusion Effect Reduction System. 106-110 - Lars Thieling, Peter Jax:
Beyond Clean Phase: Using Silence-Generating Phase for DNN-Based Speech Enhancement. 111-115 - Louis Bahrman, Marina Krémé, Paul Magron, Antoine Deleforge:
Signal Inpainting from Fourier Magnitudes. 116-120 - Carlo Aironi, Samuele Cornell, Luca Serafini, Stefano Squartini:
A Time-Frequency Generative Adversarial Based Method for Audio Packet Loss Concealment. 121-125 - Louis Delebecque, Romain Serizel:
BinauRec: A dataset to test the influence of the use of room impulse responses on binaural speech enhancement. 126-130 - Georgiana-Elena Sfeclis, Ben Milner, Danny Websdale:
Investigating Imaginary Mask Estimation in Complex Masking for Speech Enhancement. 131-135 - Helena Cuesta, Nadine Kroher, Aggelos Pikrakis, Stojan Djordjevic:
DAACI-VoDAn: Improving Vocal Detection with New Data and Methods. 136-140 - Rikuto Ito, Natsuki Akaishi, Kohei Yatabe, Yasuhiro Oikawa:
On-Line Chord Recognition Using FifthNet with Synchrosqueezing Transform. 141-145 - Petros Vavaroutsos, Pantelis Vikatos:
HSP-TL: A Deep Metric Learning Model with Triplet Loss for Hit Song Prediction. 146-150 - Andres Fernandez:
Onsets and Velocities: Affordable Real-Time Piano Transcription Using Convolutional Neural Networks. 151-155 - Rashen Fernando, Pamudu Ranasinghe, Udula Ranasinghe, Janaka Wijayakulasooriya, Pantaleon Perera:
Hybrid Y-Net Architecture for Singing Voice Separation. 156-160 - Sascha Grollmisch, Estefanía Cano, Hanna M. Lukashevich, Jakob Abeßer:
Uncertainty in Semi-Supervised Audio Classification - A Novel Extension for FixMatch. 161-165 - Alessandro Ilic Mezza, Paolo Sani, Augusto Sarti:
Automatic TV Genre Classification Based on Visually-Conditioned Deep Audio Features. 166-170 - Zied Mnasri, Stefano Rovetta, Francesco Masulli:
Anomalous Sound Event Detection Based on One-Class Classification Using Variational Autoencoders and Interval Type-2 Fuzzy Sets. 171-175 - Tobias Morocutti, Florian Schmid, Khaled Koutini, Gerhard Widmer:
Device-Robust Acoustic Scene Classification via Impulse Response Augmentation. 176-180 - Shahed Masoudian, Khaled Koutini, Markus Schedl, Gerhard Widmer, Navid Rekabsaz:
Domain Information Control at Inference Time for Acoustic Scene Classification. 181-185 - Kevin Wilkinghoff, Fabian Fritz:
On Using Pre-Trained Embeddings for Detecting Anomalous Sounds with Limited Training Data. 186-190 - Noboru Harada, Daisuke Niizumi, Yasunori Ohishi, Daiki Takeuchi, Masahiro Yasuda:
First-Shot Anomaly Sound Detection for Machine Condition Monitoring: A Domain Generalization Baseline. 191-195 - Paul M. Baggenstoss, Kevin Wilkinghoff:
Novel Generative Classifier for Acoustic Events. 196-200 - Kai Li, Dung Kim Tran, Xugang Lu, Masato Akagi, Masashi Unoki:
Data-driven Non-uniform Filterbanks Based on F-ratio for Machine Anomalous Sound Detection. 201-205 - Natalia P. García-de-la-Puente, Félix Fuentes-Hurtado, Laura Fuster, Valery Naranjo, Gema Piñero:
Deep Learning Models for Gunshot Detection in the Albufera Natural Park. 206-210 - Candy Olivia Mawalim, Benita Angela Titalim, Shogo Okada, Masashi Unoki:
Auditory Model Optimization with Wavegram-CNN and Acoustic Parameter Models for Nonintrusive Speech Intelligibility Prediction in Hearing Aids. 211-215 - Yuta Ide, Naohiro Tawara, Susumu Saito, Teppei Nakano, Tetsuji Ogawa:
Voice or Content? - Exploring Impact of Speech Content on Age Estimation from Voice. 221-225 - Fredrik Cumlin, Christian Schüldt, Saikat Chatterjee:
Latent-Based Neural Net for Non-Intrusive Speech Quality Assessment. 226-230 - Ashish Panda, Rajul Acharya, Sunil Kumar Kopparapu:
Oral Fluency Classification for Speech Assessment. 231-235 - Ruchi Pandey, Shreyas Jaiswal, Huy Phan, Santosh Nannuru:
Improving audio event localization accuracy via derivative prediction. 236-240 - Reza Varzandeh, Simon Doclo, Volker Hohmann:
A Two-Stage CNN with Feature Reduction for Speech-Aware Binaural DOA Estimation. 241-245 - Rene Glitza, Luca Becker, Alexandru Nelus, Rainer Martin:
Database of Simulated Room Impulse Responses for Acoustic Sensor Networks Deployed in Complex Multi-Source Acoustic Environments. 246-250 - David Diaz-Guerra, Archontis Politis, Tuomas Virtanen:
Position Tracking of a Varying Number of Sound Sources with Sliding Permutation Invariant Training. 251-255 - Bing Zhu, Wen Zhang:
Reactive Intensity Vector Based Direct Path Detection for DoA Estimation on a Single Acoustic Vector Sensor. 256-260 - Daan Delabie, Chesney Buyle, Bert Cox, Liesbet Van der Perre, Lieven De Strycker:
An Acoustic Simulation Framework to Support Indoor Positioning and Data Driven Signal Processing Assessments. 261-265 - Aviad Eisenberg, Sharon Gannot, Shlomo E. Chazan:
A Two-Stage Speaker Extraction Algorithm Under Adverse Acoustic Conditions Using a Single-Microphone. 266-270 - Protima Nomo Sudro, Anton Ragni, Thomas Hain:
Adapting Pretrained Models for Adult to Child Voice Conversion. 271-275 - Ritujoy Biswas, Karan Nathwani, Vinayak Abrol:
Near-end Intelligibility Improvement Through Voice Transformation in Transfer Learning Framework. 276-280 - Seyun Um, Jihyun Kim, Jihyun Lee, Hong-Goo Kang:
Facetron: A Multi-Speaker Face-to-Speech Model Based on Cross-Modal Latent Representations. 281-285 - Tomoki Ariga, Yosuke Higuchi, Mitsunori Kanno, Rie Shigyo, Takato Mizuguchi, Naoki Okamoto, Tetsuji Ogawa:
Spotting Parodies: Detecting Alignment Collapse Between Lyrics and Singing Voice. 286-290 - Ünal Ege Gaznepoglu, Nils Peters:
Deep Learning-based F0 Synthesis for Speaker Anonymization. 291-295 - Shogo Seki, Kanami Imamura, Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Noboru Harada:
W2N-AVSC: Audiovisual Extension For Whisper-To-Normal Speech Conversion. 296-300 - Yashish M. Siriwardena, Ahmed Adel Attia, Ganesh Sivaraman, Carol Y. Espy-Wilson:
Audio Data Augmentation for Acoustic-to-Articulatory Speech Inversion. 301-305 - Richard Füg:
Spectral Windowing for Enhanced Temporal Noise Shaping Analysis in Transform Audio Codecs. 306-310 - Jordi Pons, Joan Serrà, Santiago Pascual, Giulio Cengarle, Daniel Arteaga, Davide Scaini:
Upsampling Layers for Music Source Separation. 311-315 - Yuancheng Luo:
Active Barycentric Beamformed Stereo Upmixing. 316-320 - Yuki Nakamura, Taishi Nakashima, Nobutaka Ono, Ryoichi Miyazaki:
Unaliasing of Recorded Signals Based on Blind Source Separation. 321-325 - Kanami Imamura, Tomohiko Nakamura, Norihiro Takamune, Kohei Yatabe, Hiroshi Saruwatari:
Algorithms of Sampling-Frequency-Independent Layers for Non-integer Strides. 326-330 - William Ravenscroft, Stefan Goetze, Thomas Hain:
On Data Sampling Strategies for Training Neural Network Speech Separation Models. 331-335 - Thushara D. Abhayapala, Lachlan Birnie, Manish Kumar, Daniel Grixti-Cheng, Prasanga N. Samarasinghe:
Generalizing the Relative Transfer Function to a Matrix for Multiple Sources and Multichannel Microphones. 336-340 - Jesper Brunnström, Toon van Waterschoot, Marc Moonen:
Sound Zone Control for Arbitrary Sound Field Reproduction Methods. 341-345 - Konstantin Schmidt, Bernd Edler, Ahmed Mustafa Mahmoud, Guillaume Fuchs:
LPC-GAN for Speech Super-Resolution. 346-350 - Laura-Maria Dogariu, Constantin Paleologu, Jacob Benesty, Cristian Lucian Stanciu, Silviu Ciochina:
A Decomposition-Based Kalman Filter for the Identification of Acoustic Impulse Responses. 351-355 - Ziye Yang, Wenxing Yang, Kai Xie, Jie Chen:
Speech Dereverberation Using Weighted Prediction Error with Prior Learnt from Data. 356-360 - Sankha Subhra Bhattacharjee, Mads Græsbøll Christensen, Jacob Benesty:
Study of Sparsity Emanating from NKPD and its Utilization to Enhance NKPD based Adaptive Algorithms. 361-365 - Mohit Sharma, Marc Moonen:
Prototype filter design for weighted overlap-add filter bank based sub-band adaptive filtering applications. 366-370 - Miaomiao Wang, Hongsen He, Jingdong Chen, Jacob Benesty, Yi Yu:
A Recursive Least M-Estimate Adaptive Algorithm with Low Complexity for Active Control of Impulsive Noises. 371-375 - Huawei Zhang, Jihui Zhang, Fei Ma, Prasanga N. Samarasinghe, Huiyuan Sun:
A Time-Domain Multi-Channel Directional Active Noise Control System. 376-380 - Olympia Axelou, Pavlos Stoikos, George Floros, Nestor E. Evmorfopoulos, George I. Stamoulis:
A System Theoretic Approach for the Reduction of Large-Scale Room Acoustic Models. 381-385 - Pooja Kumawat, Aurobinda Routray:
Improving Speech Emotion Recognition with Data Expression Aware Multi-Task Learning. 386-390 - Paul Primus, Gerhard Widmer:
On Frequency-Wise Normalizations for Better Recording Device Generalization in Audio Spectrogram Transformers. 391-395 - Dejan Porjazovski, Tamás Grósz, Mikko Kurimo:
Topic Identification for Spontaneous Speech: Enriching Audio Features with Embedded Linguistic Information. 396-400 - Anna Ollerenshaw, Md Asif Jalal, Thomas Hain:
Probing Statistical Representations for End-to-End ASR. 401-405 - Yuya Yamamoto, Juhan Nam, Hiroko Terasawa:
PrimaDNN': A Characteristics-Aware DNN Customization for Singing Technique Detection. 406-410 - Mirela Gheorghe, Serban Mihalache, Dragos Burileanu:
Using Deep Neural Networks for Detecting Depression from Speech. 411-415 - Dalia Sherman, Gershon Hazan, Sharon Gannot:
Study of Speech Emotion Recognition Using Blstm with Attention. 416-420 - Rodrigo Borges, Marcelo Queiroz:
Audio-Based Sequential Music Recommendation. 421-425 - Mohammad Bokaei, Jesper Jensen, Simon Doclo, Jan Østergaard:
Deep Joint Source-Channel Analog Coding for Low-Latency Speech Transmission Over Gaussian Channels. 426-430 - Khazar Khorrami, María Andrea Cruz Blandón, Tuomas Virtanen, Okko Räsänen:
Simultaneous or Sequential Training? How Speech Representations Cooperate in a Multi-Task Self-Supervised Learning System. 431-435 - Sahar Sadrizadeh, Clément Barbier, Ljiljana Dolamic, Pascal Frossard:
A Relaxed Optimization Approach for Adversarial Attacks Against Neural Machine Translation Models. 436-440 - Ozan Cakiroglu, Eduardo Pérez, Florian Roemer, Martin Schiffner:
Optimization of Transmission Parameters in Fast Pulse-Echo Ultrasound Imaging Using Sparse Recovery. 441-445 - Noumida Abdul Kareem, R. Mukund, N. Madhavan Nair, Rajeev Rajan:
Stacked Res2Net-CBAM with Grouped Channel Attention for Multi-Label Bird Species Classification. 446-450 - Florian Schmid, Khaled Koutini, Gerhard Widmer:
Low-Complexity Audio Embedding Extractors. 451-455 - Nour Aburaed, Mohammed Q. Alkhatib, Stephen Marshall, Jaime Zabalza, Hussain Al-Ahmad:
Attention-Infused 3D-SRCNN for Hyperspectral Image Super Resolution. 456-460 - Alvaro Lopez Paredes, Miguel Heredia Conde, Thoriq Ibrahim, Anh Ngoc Pham, Keiichiro Kagawa:
Spatio-Temporal Super-Resolution for CS-Based ToF 3D Imaging. 461-465 - Simon Mignon, Bruno Galerne, Moncef Hidane, Cécile Louchet, Julien Mille:
Semi-Unbalanced Regularized Optimal Transport for Image Restoration. 466-470 - Shuo Li, Mehrdad Yaghoobi:
Self-Supervised Hyperspectral Inpainting with the Optimisation inspired Deep Neural Network Prior. 471-475 - Faisal Ahmed, Miguel Heredia Conde, Paula López Martinez:
GIPS: Geometry-Inspired Passive ToF Sensing for 3D Depth Reconstruction. 476-480 - Irfan Manisali, Figen S. Oktem:
Deep Learning-Based Reconstruction for Near-Field MIMO Radar Imaging. 481-485 - Said Sadeg, Jean Cauzid, Cécile Fabre, Yingying Song, David Brie, El-Hadi Djermoune:
A Background Correction Algorithm for Hyperspectral Images. 486-490 - Jaelin Lee, Byeungwoo Jeon:
Motion Deblurring of RAW Mosaic Image Using Coded Exposure Photography. 491-495 - Okyanus Oral, Figen S. Oktem:
Plug-and-Play Reconstruction with 3D Deep Prior for Complex-Valued Near-Field MIMO Imaging. 496-500 - Kei Shibasaki, Masaaki Ikehara:
Pose-aware Disentangled Multiscale Transformer for Pose Guided Person Image Generation. 506-510 - Efstratios Kakaletsis, Nikos Nikolaidis:
Active Face Recognition Through View Synthesis. 511-515 - Ryo Masumura, Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Shota Orihashi:
Text-to-Text Pre-Training with Paraphrasing for Improving Transformer-Based Image Captioning. 516-520 - Yuxing Yang, Zeyu Fu, Syed Mohsen Naqvi:
A Scene-Adaptive Framework for Pose-Oriented Abnormal Event Detection. 521-525 - Alexandros Benetatos, Markos Diomataris, Vassilis Pitsikalis, Petros Maragos:
Generating Salient Scene Graphs with Weak Language Supervision. 526-530 - Elif Duygu Petenkaya, Ozge Basak Lacin, Omer Faruk Kara, Mehmet Türkan:
Underwater Image Dehazing via Red-Channel Recovery. 531-535 - Oguzhan Ulucan, Diclehan Ulucan, Marc Ebner:
Multi-Scale Block-Based Color Constancy. 536-540 - Diclehan Ulucan, Oguzhan Ulucan, Marc Ebner:
CC-NORD: A Camera-Invariant Global Color Constancy Dataset. 541-545 - Aytaç Özkan, Yi-Hsin Li, Thomas Sikora:
Steered-Mixture-of-Experts Regression for Image Denoising with Multi-Model Inference. 546-550 - Nils Mandischer, Sebastian Döbler, Burkhard Corves:
A Simple Screw-Hole Discrimination Pipeline for Deployment in Autonomous Manufacturing. 551-555 - Kevin Feghoul, Deise Santana Maia, Mohamed Daoudi, Ali Amad:
MMGT: Multimodal Graph-Based Transformer for Pain Detection. 556-560 - Disen Hu, Nantheera Anantrasirichai:
Object Recognition in Atmospheric Turbulence Scenes. 561-565 - Katinka Müller, Vinay Chakravarthi Gogineni, Milica Orlandic, Stefan Werner:
Autoencoder-based Hyperspectral Anomaly Detection using Kernel Principal Component Pre-Processing. 566-570 - Maria Nektaria Minaidi, Charilaos Papaioannou, Alexandros Potamianos:
Self-Attention Based Generative Adversarial Networks For Unsupervised Video Summarization. 571-575 - Ramin Ghaznavi Youvalari, Döne Bugdayci Sansli, Pekka Astola, Jani Lainema:
Filtered Intra Template Matching Prediction for Future Video Coding. 576-579 - Mohsen Abdoli, Félix Henry, Gordon Clare, Abderrahmane Jarmouni, Kra-Tchimbie Koffi:
Spatial Rate Allocation for Learning-based Video Coding. 580-584 - Tilo Strutz:
Rescaling of Symbol Counts for Adaptive rANS Coding. 585-589 - Davi Rabbouni Freitas, Christine Guillemot, Ioan Tabus:
Compression of PlenOctree Model Attributes Enabling Fast Communication and Rendering of Neural Radiance Fields. 590-594 - Tomoya Yoshinaga, Keitaro Tanaka, Shigeo Morishima:
Audio-Visual Speech Enhancement with Selective Off-Screen Speech Extraction. 595-599 - Iago Storch, Nuno Roma, Daniel Palomino, Sergio Bampi:
GPU Acceleration of MIP Intra Prediction in VVC. 600-604 - Hatef Otroshi-Shahreza, Vedrana Krivokuca Hahn, Sébastien Marcel:
MLP-Hash: Protecting Face Templates via Hashing of Randomized Multi-Layer Perceptron. 605-609 - Juan E. Tapia, Christoph Busch, Haoyu Zhang, Raghavendra Ramachandra, Kiran B. Raja:
Simulating Print/Scan Textures for Morphing Attack Detection. 610-614 - Yuzhen Lin, Emanuele Maiorana, Bin Li, Patrizio Campisi:
Detection of Photoplethysmography Manipulation in Video Forgery. 615-619 - Davide Salvi, Paolo Bestagini, Stefano Tubaro:
Towards Frequency Band Explainability in Synthetic Speech Detection. 620-624 - Mubarak G. Abdu-Aguye, Karthik Nandakumar:
Recurrence-Based Disentanglement for Detecting Adversarial Attacks on Timeseries Classifiers. 625-629 - Ehsan Olyaei Torshizi, Werner Henkel:
Error Probability of FDD-based Secret Key Generation using Multiple Linear Regression. 630-634 - Pierre De Handschutter, Nicolas Gillis, Wivine Blekic:
Deep Symmetric Matrix Factorization. 635-639 - Meng Ding, Xiao Fu, Xi-Le Zhao:
Bilinear Hyperspectral Unmixing via Tensor Decomposition. 640-644 - Zhongtao Chen, Lei Cheng, Yik-Chung Wu:
Enhanced Tensor Rank Learning in Bayesian PARAFAC2 for Noisy Irregular Tensor Data. 645-649 - Raphaël Widdershoven, Nithin Govindarajan, Lieven De Lathauwer:
Overdetermined Systems of Polynomial Equations: Tensor-Based Solution and Application. 650-654 - Konstantin Usevich, Yassine Zniyed, Mariya Ishteva, Philippe Dreesen, André L. F. de Almeida:
Tensor-Based Two-Layer Decoupling of Multivariate Polynomial Maps. 655-659 - Öykü Deniz Köse, Yanning Shen:
Fairness-Aware Dimensionality Reduction. 660-664 - Yu Fan, Zicheng Zhang, Wei Sun, Xiongkuo Min, Jiaman Lin, Guangtao Zhai, Ning Liu:
MV-VVQA: Multi-View Learning for No-Reference Volumetric Video Quality Assessment. 670-674 - Jesús Gutiérrez, Gulzhanat Dandyyeva, Matteo Dal Magro, Carlos Cortés, Michele Brizzi, Marco Carli, Federica Battisti:
Subjective Evaluation of Dynamic Point Clouds: Impact of Compression and Exploration Behavior. 675-679 - Marouane Tliba, Aladine Chetouani, Giuseppe Valenzise, Frédéric Dufaux:
Multi-Modal Evaluation of 3D Point Clouds Images: A Novel No-Reference Approach Using a Multi-Stream Attentive Architecture. 680-684 - Jiahui Zhang, Zesong Fei, Xinyi Wang, Peng Liu, Jingxuan Huang, Guohua Wei, Weijie Yuan:
Cooperative Sensing Assisted Joint Transmission for Ground-to-Air Communication Systems. 685-689 - Nanchi Su, Fan Liu, Christos Masouros:
Secure Integrated Sensing and Communication Systems with the Assistance of Sensing Functionality. 690-694 - R. S. Prasobh Sankar, Sidharth S. Nair, Siddhant Doshi, Sundeep Prabhakar Chepuri:
Learning to Precode for Integrated Sensing and Communication Systems. 695-699 - Ioannis Gavras, Md Atiqul Islam, Besma Smida, George C. Alexandropoulos:
Full Duplex Holographic MIMO for Near-Field Integrated Sensing and Communications. 700-704 - Jaakko Marin, Micael Bernhardt, Taneli Riihonen:
Sensing Performance of Wideband Full-Duplex Joint Radar-Communications FM-FSK Transceiver. 705-709 - Ziwei Kang, Qian He:
Learning-Based Joint Waveform Optimization and Receiver Design for Dual-Functional MIMO Radar and Communications. 710-714 - Robin Amar, Mohammad Alaee-Kerahroodi, Gabriel Beltrão, M. R. Bhavani Shankar:
Doppler-Tolerant Waveform Design and Signal Processing for Interference Immune Radar Systems. 715-719 - François De Saint Moulin, Charles Wiame, Claude Oestges, Luc Vandendorpe:
Cooperative Sensing in Automotive Urban Scenarios Using Poisson Line Processes. 720-724 - Himali Singh, Arpan Chattopadhyay:
Multi-Target Range and Angle Detection for MIMO-FMCW Radar with Limited Antennas. 725-729 - Ruxin Zheng, Hongshan Liu, Shunqiao Sun, Jian Li:
Deep Learning Based Computationally Efficient Unrolling IAA for Direction-of-Arrival Estimation. 730-734 - Arian Eamaz, Farhang Yeganegi, Kumar Vijay Mishra, Mojtaba Soltanalian:
Near-Field Low-WISL Unimodular Waveform Design for Terahertz Automotive Radar. 735-739 - Hao Luo, Umut Demirhan, Ahmed Alkhateeb:
Millimeter Wave V2V Beam Tracking using Radar: Algorithms and Real-World Demonstration. 740-744 - Özkan Çayli, Xubo Liu, Volkan Kiliç, Wenwu Wang:
Knowledge Distillation for Efficient Audio-Visual Video Captioning. 745-749 - Parthasaarathy Sudarsanam, Tuomas Virtanen:
Attention-Based Methods For Audio Question Answering. 750-754 - Feiyang Xiao, Qiaoxi Zhu, Jian Guan, Wenwu Wang:
Enhancing Audio Retrieval with Attention-based Encoder for Audio Feature Representation. 755-759 - Etienne Labbé, Julien Pinquier, Thomas Pellegrini:
Multitask Learning in Audio Captioning: A Sentence Embedding Regression Loss Acts as a Regularizer. 760-764 - Yi Yuan, Haohe Liu, Jinhua Liang, Xubo Liu, Mark D. Plumbley, Wenwu Wang:
Leveraging Pre-Trained AudioLDM for Sound Generation: A Benchmark Study. 765-769 - Gijs Wijngaard, Elia Formisano, Bruno L. Giordano, Michel Dumontier:
ACES: Evaluating Automated Audio Captioning Models on the Semantics of Sounds. 770-774 - Hui Tang, Xueqin Liu, Yu Rong, Daniel W. Bliss:
Graph based Method for Enhanced Heart Rate Trace Estimation using UWB Impulse Radar. 775-779 - Ritesh Chandra Tewari, Patitapaban Palo, Aurobinda Routray, Jhareswar Maiti:
A Novel Graph Neural Network based Approach for Human Activity Recognition. 780-784 - Zahra Sadeghi-Adl, Fauzia Ahmad:
Semi-Supervised Convolutional Autoencoder With Attention Mechanism for Activity Recognition. 785-789 - Yu Rong, Daneil Bliss:
Novel Heartbeat Detection Method in Presence of Large-Scale Random Body Movement Using SFCW Radar: A Simulated Study. 790-794 - Moritz Kahlert, Tai Fei, Junus Hirner, Claas Tebruegge, Markus Gardill:
Multi-Target Doppler Ambiguity Identification for a PMCW Automotive Radar System. 795-799 - Alexander Tsaregorodtsev, Michael Buchholz, Vasileios Belagiannis:
Automated Automotive Radar Calibration with Intelligent Vehicles. 800-804 - Minh Trinh-Hoang, Dani Karam, Dmytro Rachkov, Marius Pesavento:
A Sequential Partial Relaxation-Based Technique for Automotive MIMO Radar Imaging. 805-809 - Lukas Stäcker, Philipp Heidenreich, Jason R. Rambach, Didier Stricker:
Cross-Dataset Experimental Study of Radar-Camera Fusion in Bird's-Eye View. 810-814 - Moshe Levy-Israel, Joseph Tabrikian, Igal Bilik:
Misspecified Cramér-Rao Bound for Terahertz Automotive Radar Range Estimation. 815-819 - Julien Lesouple, Lorenzo Ortega:
An EM Approach for GNSS Parameters of Interest Estimation Under Constant Modulus Interference. 820-824 - Pinjun Zheng, Xing Liu, Tarig Ballal, Tareq Y. Al-Naffouri:
5G-Aided RTK Positioning in GNSS-Deprived Environments. 825-829 - Camille Palmier, Audrey Giremus, Pierre Minvielle, Cornelia Paula Vacar, Guillaume Bourmaud:
Terrain-Aided SLAM with Limited-Size Reference Maps Using Gaussian Processes. 830-834 - Yihan Guo, Oliviero Vouch, Simone Zocca, Alex Minetto, Fabio Dovis:
A Comparison Study Between the EKF and SIR-PF for GNSS/UWB Tight Integration. 835-839 - Andrea Bellés, Daniel Medina, Paul Chauchat, Samy Labsir, Jordi Vilà-Valls:
Robust M-Type Error-State Kalman Filters for Attitude Estimation. 840-844 - Sayantan Dutta, Nwigbo Kenule Tuador, Jérôme Michetti, Bertrand Georgeot, Duong-Hung Pham, Denis Kouamé, Adrian Basarab:
Computed Tomography Image Restoration Using a Quantum-Based Deep Unrolled Denoiser and a Plug-and-Play Framework. 845-849 - Samuel Pinilla, Wenzhu Xing, SeyyedReza MiriRostami, Vladimir Katkovnik, Igor Shevkunov, Johannes E. Fröch, Arka Majumdar, Karen O. Egiazarian:
Kernelless Blind Inverse Imaging for Flat Meta-Optics Camera. 850-854 - Iván Ortiz, Tatiana Gelvez-Barrera, Laura Galvis, Henry Arguello:
Seismic Shot Recovery via Low-Rank Tensor Modeling on the Cross-Spread Domain. 855-859 - Christoph Brauer, Dirk A. Lorenz:
Asymptotic Analysis and Truncated Backpropagation for the Unrolled Primal-Dual Algorithm. 860-864 - Cécile de Valle, Ezequiel Centofanti, Emilie Chouzenoux, Jean-Christophe Pesquet:
Stability of Unfolded Forward-Backward to Perturbations in Observed Data. 865-869 - Anubhab Ghosh, Antoine Honoré, Saikat Chatterjee:
DANSE: Data-Driven Non-Linear State Estimation of Model-Free Process in Unsupervised Bayesian Setup. 870-874 - Aleksandar Armacki, Nemanja Milosevic, Dragana Bajovic, Soummya Kar, Dusan Jakovetic, Arian Bakhtiarnia, Lukas Esterle, Adrian Muscat, Thomas Festi:
Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities. 875-879 - Luis Filipe Alves Pereira, Jan De Beenhouwer, Jan Sijbers:
The Deep Steerable Convolutional Framelet Network for Suppressing Directional Artifacts in X-ray Tomosynthesis. 880-884 - Xianlu Li, Nicolas Nadisic, Shaoguang Huang, Nikos Deligiannis, Aleksandra Pizurica:
Model-Aware Deep Learning for the Clustering of Hyperspectral Images with Context Preservation. 885-889 - Jinghe Wang, Wankai Tang, Shi Jin, Xiao Li, Michail Matthaiou:
Static Power Consumption Modeling and Measurement of Reconfigurable Intelligent Surfaces. 890-894 - Marina Lotti, Davide Dardari:
Metaprism-aided NLOS Target Localization. 895-899 - Juan Carlos Ruiz Sicilia, Marco Di Renzo, Mérouane Debbah, H. Vincent Poor:
Low Complexity Optimization for Line-of-Sight RIS-Aided Holographic Communications. 900-904 - Amna Irshad, Emil Björnson:
Optimal Geometries of Dual-Polarized Arrays for Large Point-to-Point MIMO Channels. 905-909 - Kangda Zhi, Cunhua Pan, Tuo Wu, Hong Ren, Kok Keong Chai:
Analysis of XL-Array with Near-Field EM Channels: (Invited Paper). 910-914 - Fenghao Zhu, Bohao Wang, Zhaohui Yang, Chongwen Huang, Zhaoyang Zhang, George C. Alexandropoulos, Chau Yuen, Mérouane Debbah:
Robust Millimeter Beamforming via Self-Supervised Hybrid Deep Learning. 915-919 - Annika Briegleb, Thomas Haubner, Vasileios Belagiannis, Walter Kellermann:
Localizing Spatial Information in Neural Spatiospectral Filters. 920-924 - Koki Nishida, Norihiro Takamune, Rintaro Ikeshita, Daichi Kitamura, Hiroshi Saruwatari, Tomohiro Nakatani:
NoisyILRMA: Diffuse-Noise-Aware Independent Low-Rank Matrix Analysis for Fast Blind Source Extraction. 925-929 - Tetsuya Ueda, Shoji Makino:
Constant Separating Vector-based Blind Source Extraction and Dereverberation for a Moving Speaker. 930-934 - Tomohiro Takahashi, Yuma Kinoshita, Yukoh Wakabayashi, Nobutaka Ono, Jun Honda, Seishi Fukuma, Aoi Kitamori, Hiroshi Nakagawa:
Acoustic Traffic Monitoring Based on Deep Neural Network Trained by Stereo-Recorded Sound and Sensor Data. 935-939 - Zbynek Koldovský, Jaroslav Cmejla, Tülay Adali, Stephen O'Regan:
Independent Vector Extraction Constrained on Manifold of Half-Length Filters. 940-944 - Marco Huber, Meiling Fang, Fadi Boutros, Naser Damer:
Are Explainability Tools Gender Biased? A Case Study on Face Presentation Attack Detection. 945-949 - Sara Akodad, Lionel Bombrun, Christian Germain, Yannick Berthoumieu:
A Gaussian mixture model with multiple tangent planes. 950-954 - Eduarda Caldeira, Pedro C. Neto, Tiago Gonçalves, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso:
Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection. 955-959 - Maria Sayu Yamamoto, Apolline Mellot, Sylvain Chevallier, Fabien Lotte:
Novel SPD Matrix Representations Considering Cross-Frequency Coupling for EEG Classification Using Riemannian Geometry. 960-964 - Zhan Gao, Deniz Gündüz:
AirGNNs: Graph Neural Networks over the Air. 963-967 - Charlotte Vermeylen, Guillaume Olikier, Pierre-Antoine Absil, Marc Van Barel:
Rank Estimation for Third-Order Tensor Completion in the Tensor-Train Format. 965-969 - Charles-Gérard Lucas, Patrice Abry, Herwig Wendt, Gustavo Didier:
Epileptic Seizure Prediction from Eigen-Wavelet Multivariate Self-Similarity Analysis of Multi-Channel EEG Signals. 970-974 - Neel Kanwal, Roger Amundsen, Helga Hardardottir, Luca Tomasetti, Erling Sandøy Undersrud, Emiel A. M. Janssen, Kjersti Engan:
Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images. 975-979 - Zahra Tabatabaei, Adrián Colomer, Kjersti Engan, Javier Oliver, Valery Naranjo:
Self-supervised learning of a tailored Convolutional Auto Encoder for histopathological prostate grading. 980-984 - Rocío del Amor, Julio Silva-Rodríguez, Adrián Colomer, Valery Naranjo:
Attention to Detail: Inter-Resolution Knowledge Distillation. 985-989 - Andrew Gigie, R. Krishna Kanth, Achanna Anil Kumar, Tapas Chakravarty, Anwesha Khasnobish, Arpan Pal:
EMiTD: Enhanced Microwave Imaging for Breast Tumor Detection. 990-994 - Hui Lin, Santiago Lopez Tapia, Florian Schiffers, Yunan Wu, Huili Yang, Nikolay Iakovlev, Bradley D. Allen, Ryan Avery, Daniel C. Lee, Daniel Kim, Aggelos K. Katsaggelos:
Usformer: A Light Neural Network for Left Atrium Segmentation of 3D LGE MRI. 995-999 - Simon Geirnaert, Tom Francart, Alexander Bertrand:
Stimulus-Informed Generalized Canonical Correlation Analysis of Stimulus-Following Brain Responses. 1000-1004 - Charles Truong, Laurent Oudre:
Supervised Change-Point Detection with Dimension Reduction. 1005-1009 - Davoud Shariat Panah, Andrew Hines, Susan McKeever:
Exploring Wav2vec 2.0 Model for Heart Murmur Detection. 1010-1014 - Praveen K. Parashiva, Rohit Damodaran, M. A. Kareem, Nikhil S. Narayan:
Device Agnostic Measurement of Blood Pressure From RPPG Signals. 1015-1019 - Anna Kurbatskaya, Alberto Jaramillo-Jimenez, John Fredy Ochoa-Gómez, Kolbjørn Brønnick, Alvaro Fernandez-Quilez:
Assessing Gender Fairness in EEG-Based Machine Learning Detection of Parkinson's Disease: A Multi-Center Study. 1020-1024 - Maliheh Miri, Vahid Abootalebi, Enrico Amico, Hamid Saeedi-Sourck, Dimitri Van De Ville, Hamid Behjat:
Brain Fingerprinting Using EEG Graph Inference. 1025-1029 - Philipp Hallgarten, David Bethge, Ozan Özdenizci, Tobias Grosse-Puppendahl, Enkelejda Kasneci:
TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning. 1030-1034 - Pedro Garcia Freitas, Rafael G. De Lima, Giovani D. Lucafo, Otávio A. B. Penatti:
Assessing the Quality of Photoplethysmograms via Gramian Angular Fields and Vision Transformer. 1035-1039 - Hugo Lafaye de Micheaux, Julie Fontecave Jallon, Aurélien Bricout-Serrurier, Pierre-Yves Gumery:
Sleep Apnea Events Classification from a Dual Accelerometry System Using Deep Learning Models. 1040-1044 - Saul Fuster, Farbod Khoraminia, Trygve Eftestøl, Tahlita C. M. Zuiverloon, Kjersti Engan:
Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images. 1045-1049 - Nicolas Vercheval, Marin Bencevic, Dario Muzevic, Irena Galic, Aleksandra Pizurica:
Counterfactual Functional Connectomes for Neurological Classifier Selection. 1050-1054 - René Pallenberg, Ann-Katrin Griedelbach, Alfred Mertins:
LSTMs for EEG-based Auditory Attention Decoding. 1055-1059 - Angelos Nalmpantis, Nikolaos Passalis, Anastasios Tefas:
End-to-End Trainable Gaussian Filtering for Electrocardiogram Signal Classification Using Deep Learning. 1060-1064 - Ozlem Karabiber Cura, Sibel Kocaaslan Atli, Sena Yagmur Sen, Aydin Akan:
Classification of ADHD by Using Multiple Feature Maps of EEG Signals and Deep Feature Extraction. 1065-1069 - Alejandro Golfe, Rocío del Amor, Adrián Colomer, María Á. Sales, Liria Terradez, Valery Naranjo:
Towards the On-Demand Whole Slide Image Generation: Prostate Patch Synthesis Through a Conditional Progressive Growing GAN. 1070-1074 - Matilda Andersson, Mattias Nilsson, Gabrielle Flood, Kalle Åström:
Augmentation Strategies for Self-Supervised Representation Learning from Electrocardiograms. 1075-1079 - Feng Xue, Silvin P. Knight, Emma Connolly, Eoin Duggan, Roman Romero-Ortuno:
Functional Clustering of Continuous Cardiovascular and Brain Oxygenation Signals During an Active Stand Test in The Irish Longitudinal Study on Ageing (TILDA). 1080-1084 - Rafael G. De Lima, Pedro Garcia Freitas, Giovani D. Lucafo, Vanessa B. O. Fioravanti, Ismael Seidel, Otávio A. B. Penatti:
Neural Architecture Search for Tiny Detectors of Inter-beat Intervals. 1085-1089 - Jonas Emrich, Taulant Koka, Sebastian Wirth, Michael Muma:
Accelerated Sample-Accurate R-Peak Detectors Based on Visibility Graphs. 1090-1094 - Siddharth Rathod, Priyanka Gupta, Aastha Kachhi, Hemant A. Patil:
Cochlear Filter-Based Cepstral Features for Dysarthric Severity-Level Classification. 1095-1099 - Aengus Daly, Gordon Lightbody, Andriy Temko:
Bridging the Source-Target Mismatch with Pseudo Labeling for Neonatal Seizure Detection. 1100-1104 - Burak Akbugday, Ozge Ada Bozbas, Ozlem Karabiber Cura, Sude Pehlivan, Aydin Akan:
Detection of Attention Deficit Hyperactivity Disorder by Using EEG Feature Maps and Deep Learning. 1105-1109 - Chloé Berton, Gouenou Coatrieux, Dominique Lavenier, Sahar Haddad:
Dynamic Sliding Window Encoding for Data Storage on DNA Under Biological and Indexing Constraints. 1110-1114 - Quoc-Huy Trinh, Nhat-Tan Bui, Trong-Hieu Nguyen Mau, Minh-Van Nguyen, Hai-Minh Phan, Minh-Triet Tran, Hai-Dang Nguyen:
M2UNet: MetaFormer Multi-Scale Upsampling Network for Polyp Segmentation. 1115-1119 - Diogo Filipe Silva, Steffen Leonhardt:
Hybrid Compartment Model Formulation for Accelerated Bolus Fitting. 1120-1124 - Ines Moudjari, Caroline Pautard, Clément Jouanneau, Régine Le Bouquin Jeannes:
On the Use of Kernel Fisher Discriminant Analysis as a Reduction Method for the Classification of EMG Signals. 1125-1129 - Youssra El Bennioui, Fabien Vidal, Adrian Basarab, Jean-Yves Tourneret:
Joint Registration and Fusion of 3D Magnetic Resonance and 2D Ultrasound Images for Endometriosis Surgery. 1130-1134 - Ming Gong, John J. Soraghan, Gaetano Di Caterina, Xiaoquan Li, Derek Grose:
A Boundary Optimization Scheme for Liver Tumors from CT Images. 1135-1139 - Meghna Pandharipande, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Modeling of Olfactory Brainwaves for Odour Independent Biometric Identification. 1140-1144 - Purva R. Chopde, Rocío Álvarez-Cedrón, Sebastian Alphonse, Aaron J. Polichnowski, Karen A. Griffin, Geoffrey A. Williamson:
Efficacy of Dynamics-Based Features for Machine Learning Classification of Renal Hemodynamics. 1145-1149 - Dorsaf Hmida, Mohamed Amine Mezghich, Ines Sakly, Slim M'hiri, Fouzi Ghorbel:
Statistical Prior Knowledge for Robust Medical Image Segmentation by Level Set. 1150-1154 - Tong Chen, Guanchao Feng, Cassandra Heiselman, J. Gerald Quirk, Petar M. Djuric:
Fetal Heart Rate Analysis from a Multi-task Learning Perspective with Gaussian Processes. 1155-1159 - Ismael Gómez-Talal, Arantzazu Barquín, Luis Bote-Curiel, Mónica Yagüe-Fernández, José Luis Rojo-Álvarez, Jesús García-Donas:
Predicting Ovarian Cancer with Machine Learning: Integrating Clinical and Genetic Data. 1160-1164 - Yamil Vindas, Emmanuel Roux, Blaise Kévin Guépié, Marilys Almar, Philippe Delachartre:
Deep Embedded Clustering Regularization for Supervised Imbalanced Cerebral Emboli Classification Using Transcranial Doppler Ultrasound. 1165-1169 - Sarah Reynaud, Adrien Merlini, Douraied Ben Salem, François Rousseau:
EEG Source Imaging by Supervised Learning. 1170-1174 - Evrim Korkmaz Özay, Tolga Esat Özkurt:
Efficient and Accurate Neural Fingerprints Obtained via Mean Curve Length of High Dimensional Model Representation of EEG Signals. 1175-1179 - Rohan Banerjee, Oishee Mazumder, Ayan Mukherjee, Soumitra Sinhahajari, Aniruddha Sinha:
Reconstruction of Body Surface Potential From 12-Lead ECG: A Conditional GAN Based Approach. 1180-1184 - Pamela Zontone, Antonio Affanni, Alessandro Piras, Roberto Rinaldo:
Convolutional Neural Networks Using Scalograms for Stress Recognition in Drivers. 1185-1189 - Ibrahim Özkan, Atila Yilmaz:
Performance of Using Mel-Frequency Cepstrum Based Features in Nonlinear Classifiers for Phonocardiography Recordings. 1190-1194 - Sude Pehlivan, Onur Akdemir, Ozlem Karabiber Cura, Burak Akbugday, Aydin Akan:
Combinations of EEG Topographic Feature Maps for the Classification of ADHD. 1195-1199 - Siwar Chaabene, Brahim Haroun Hassan, Amal Boudaya, Lotfi Chaâri, Bassem Bouaziz:
New MCI Detection Method Based on Transformer and EEG Data. 1200-1204 - Pratima Upretee, Sybren Santermans, Koen M. Martens, Juliette Gevers, Sanjin Marion, Wouter Van den Bosch, Jan Fostier, Nilesh Madhu:
Detecting Translocation of DNA Nanostructures Through Nanopores: First Steps Towards Structural Barcode Readout. 1205-1209 - Caroline P. A. Moraes, Denis G. Fantinato, Aline Neves:
A Novel Approach for Transfer Learning Motor Imagery Classification Based on IVA. 1210-1214 - Brandon Le Bon, Mikaël Le Pendu, Christine Guillemot:
Stochastic Unrolled Proximal Point Algorithm for Linear Image Inverse Problems. 1215-1219 - Samuel Willingham, Mårten Sjöström, Christine Guillemot:
Prior for Multi-Task Inverse Problems in Image Reconstruction Using Deep Equilibrium Models. 1220-1224 - Zilu Zhao, Dirk Slock:
Variance Predictions in VAMP/UAMP with Right Rotationally Invariant Measurement Matrices for niid Generalized Linear Models. 1225-1229 - Mohammad Sabbaqi, Elvin Isufi:
Graph-Time Trend Filtering and Unrolling Network. 1230-1234 - Xinyue Zhang, Boris Joukovsky, Nikos Deligiannis:
Quantitative Evaluation of Video Explainability Methods via Anomaly Localization. 1235-1239 - Paul Rodríguez:
Assessment of a Two-Step Integration Method as an Optimizer for Deep Learning. 1245-1249 - Paul M. Baggenstoss:
Improved Auto-Encoding Using Deterministic Projected Belief Networks and Compound Activation Functions. 1250-1254 - Adrian Holzbock, Achyut Hegde, Klaus Dietmayer, Vasileios Belagiannis:
Data-Free Backbone Fine-Tuning for Pruned Neural Networks. 1255-1259 - Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García:
A Statistical Model for Predicting Generalization in Few-Shot Classification. 1260-1264 - Cyprien Gilet, Marie Guyomard, Susana Barbosa, Lionel Fillatre:
Multiclass Minimax Learning for Deep Neural Networks. 1265-1269 - Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén:
Regularization Trade-offs with Fake Features. 1270-1274 - Jiahui Wei, Elsa Dupraz, Philippe Mary:
Asymptotic and Non-Asymptotic Rate-Loss Bounds for Linear Regression with Side Information. 1275-1279 - Junbin Liu, Mingjie Shao, Wing-Kin Ma:
Probabilistic Semi-Nonnegative Matrix Factorization via Maximum-Likelihood and Variational Inference. 1280-1284 - Tamir Baruch Yampolsky, Ronen Talmon, Ofir Lindenbaum:
Domain and Modality Adaptation Using Multi-Kernel Matching. 1285-1289 - Olivier Vu Thanh, Nicolas Gillis:
Identifiability of Polytopic Matrix Factorization. 1290-1294 - Claude Petit, Aline Roumy, Thomas Maugey:
A Water-filling Algorithm Maximizing the Volume of Submatrices Above the Rank. 1295-1299 - Gentry Atkinson, Xiaomin Li, Vangelis Metsis:
Conditional Diffusion with Label Smoothing for Data Synthesis from Examples with Noisy Labels. 1300-1304 - Terry Fawden, Lorena Qendro, Cecilia Mascolo:
Uncertainty-Informed On-Device Personalisation Using Early Exit Networks on Sensor Signals. 1305-1309 - Titouan Simonnet, Mame Diarra Fall, Bruno Galerne, Francis Claret, Sylvain Grangeon:
Proportion Inference Using Deep Neural Networks. Applications to X-Ray Diffraction and Hyperspectral Imaging. 1310-1314 - Antonio Giganti, Sara Mandelli, Paolo Bestagini, Marco Marcon, Stefano Tubaro:
Multi-BVOC Super-Resolution Exploiting Compounds Inter-Connection. 1315-1319 - Emmanouil Patsiouras, Ioanna Koroni, Ioannis Mademlis, Ioannis Pitas:
GreekPolitics: Sentiment Analysis on Greek Politically Charged Tweets. 1320-1324 - Guénolé C. M. Silvestre, Félix Balado, Olumide Akinremi, Mirco Ramo:
Online Handwriting Gesture Recognition Using Transformer and Natural Language Processing. 1325-1329 - Yuying Xie, Thomas Arildsen, Zheng-Hua Tan:
Improved Disentangled Speech Representations Using Contrastive Learning in Factorized Hierarchical Variational Autoencoder. 1330-1334 - Gauri Deshpande, Yagna Gudipalli, Sachin Patel, Björn W. Schuller:
Applying Speech Derived Breathing Patterns to Automatically Classify Human Confidence. 1335-1339 - Hastin Modi, Maitreya Patel, Hemant A. Patil:
Attentions for Short Duration Speech Classification. 1340-1344 - Manuel Abbas, Joaquim Prud'homm, Fabien Lemoine, Guy Carrault, Dominique Somme, Régine Le Bouquin-Jeannès:
Could Discourse Analysis Reveal Pre-Frailty in Older Adults? 1345-1349 - Sabri Mustafa Kahya, Muhammet Sami Yavuz, Eckehard G. Steinbach:
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW Radar. 1350-1354 - Dimitrios Tsiakmakis, Nikolaos Passalis, Anastasios Tefas:
Improving Inertial-Based UAV Localization using Data-Efficient Deep Reinforcement Learning. 1355-1359 - Andrei-Sebastian Petrescu, Constantin-Cristian Damian, Daniela Coltuc:
Self-Supervised Learning of Depth Maps for Autonomous Cars. 1360-1364 - Abhiram Kolli, Muhammad Jehanzeb Mirza, Horst Possegger, Horst Bischof:
Test-Time Adversarial Detection and Robustness for Localizing Humans Using Ultra Wide Band Channel Impulse Responses. 1365-1369 - Gonçalo Falcão, Armando M. Fernandes, Nuno C. Garcia, Helena Aidos, Pedro Tomás:
Stacking Deep Learning Models for Early Detection of Wildfire Smoke Plumes. 1370-1374 - Leonie Basso, Zhao Ren, Wolfgang Nejdl:
Efficient ECG-Based Atrial Fibrillation Detection via Parameterised Hypercomplex Neural Networks. 1375-1379 - George Stamatelis, Nicholas Kalouptsidis:
Active Hypothesis Testing in Unknown Environments Using Recurrent Neural Networks and Model Free Reinforcement Learning. 1380-1384 - Xiaotong Cheng, Setareh Maghsudi:
Collaborative Regret Minimization for Piecewise-Stationary Multi-Armed Bandit. 1385-1389 - Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Abdeldjalil Aïssa-El-Bey:
Learning Sentinel-2 Reflectance Dynamics for Data-Driven Assimilation and Forecasting. 1390-1394 - Shengjie Xiu, Daniel P. Palomar:
Intraday Volatility-Volume Joint Modeling and Forecasting: A State-Space Approach. 1395-1399 - Yuhao Liu, Chen Cui, Daniel Waxman, Kurt Butler, Petar M. Djuric:
Detecting Confounders in Multivariate Time Series using Strength of Causation. 1400-1404 - Zuokun Ouyang, Meryem Jabloun, Philippe Ravier:
STLformer: Exploit STL Decomposition and Rank Correlation for Time Series Forecasting. 1405-1409 - Kurt Butler, Duncan Cleveland, Charles B. Mikell, Sima Mofakham, Yuri B. Saalmann, Petar M. Djuric:
An Approach to Learning the Hierarchical Organization of the Frontal Lobe. 1410-1414 - Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa:
Analog versus Digital Pulse Amplitude Modulation for Goal-Oriented Wireless Communications. 1415-1419 - Joel Fernandez, Lauri Anttila, Mikko Valkama, Thomas Eriksson:
Linearization of Active Array Transmitters Under Crosstalk via Over-the-Air Observations. 1420-1424 - Wouter Lanneer, Yannick Lefevre:
Machine Learning-Based Pre-Equalizers for Maximum Likelihood Sequence Estimation in High-Speed PONs. 1425-1429 - Ids Van der Werf, Richard C. Hendriks, Richard Heusdens:
Channel Parameter Estimation Using a Wideband LFM Preamble: Comparison of the Fractional Fourier Transform and Matched Filtering. 1430-1434 - Antonino Maria Rizzo, Luca Magri, Pietro Invernizzi, Enrico Sozio, Gabriele Aquaro, Stefano Binetti, Cesare Alippi, Giacomo Boracchi:
Event Detection in Optical Signals via Domain Adaptation. 1435-1439 - Jesús Pérez, Jesús Ibáñez:
Method of Moments Estimation for Energy Spectrum Sensing. 1440-1444 - Marjan Maleki, Juening Jin, Martin Haardt:
Low Complexity PMI Selection for BICM-MIMO Rate Maximization in 5G New Radio Systems. 1445-1449 - Xiuxiu Ma, Abla Kammoun, Ayed M. Alrashdi, Tarig Ballal, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri:
Asymptotic Performance Analysis of the Regularized Least Squares Precoding with Restricted Transmit Power in Multi-User Massive MIMO. 1450-1454 - Evangelos Vlachos, Christos Mavrokefalidis, Kostas Berberidis:
Velocity-aided Channel Estimation for Spatially Selective mmWave Massive MIMO Communications. 1455-1459 - Kabiru Nasiru Aliyu, Abdulmajid Lawal, Karim Abed-Meraim, Azzedine Zerguine:
Fast Subspace-Based Semi-Blind Channel Estimation for MIMO-OFDM Communications. 1460-1463 - Silvio F. B. Pinto, Rodrigo C. de Lamare:
Multiuser Multiple-Antenna Wireless Communications Systems Based on Super-Resolution Arrays. 1464-1468 - Chongzheng Hao, Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Xiaoyu Dang, Michail Matthaiou:
User Association and Power Control in Cell-Free Massive MIMO with the APG Method. 1469-1473 - Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Erik G. Larsson:
Multipair DF Relaying with Network-Assisted Full-Duplex Cell-Free Massive MIMO. 1474-1478 - Joumana Farah, Cybele Ghanem, Eric Pierre Simon:
Uncoordinated Transmissions in Uplink IoT Cell-Free Massive MIMO Systems Based on NOMA. 1479-1483 - Saeed Mashdour, Rodrigo C. de Lamare, Anke Schmeink, João Paulo S. H. Lima:
Sequential Multiuser Scheduling and Power Allocation for Clustered Cell-Free Massive MIMO Networks. 1484-1488 - Finn Siegismund-Poschmann, Bile Peng, Eduard A. Jorswieck:
Non-Orthogonal Multiple Access Assisted by Reconfigurable Intelligent Surface Using Unsupervised Machine Learning. 1489-1493 - Pourya Behmandpoor, Panagiotis Patrinos, Marc Moonen:
Model-Free Decentralized Training for Deep Learning Based Resource Allocation in Communication Networks. 1494-1498 - Emmanouil Kariotakis, Aggelos Bletsas:
Probabilistic Asynchronous Inference in Wireless Networks with Spectral Clustering. 1499-1503 - Mohammad Soleymani, Ignacio Santamaría, Eduard A. Jorswieck:
Energy-Efficient Rate Splitting for MIMO STAR-RIS-Assisted Broadcast Channels with I/Q Imbalance. 1504-1508 - Chandan Kumar Sheemar, George C. Alexandropoulos, Dirk Slock, Jorge Querol, Symeon Chatzinotas:
Full-Duplex-Enabled Joint Communications and Sensing with Reconfigurable Intelligent Surfaces. 1509-1513 - Marc Martinez-Gost, Ana Isabel Pérez-Neira, Miguel Angel Lagunas:
LoRa-Based Over-the-Air Computing for Sat-IoT. 1514-1518 - Yirui Deng, Deepak Mishra, Aruna Seneviratne:
Bi-static Visible Light Backscatter Modelling and Tag Localisation. 1519-1523 - Sebastian Semper, Eduardo Pérez, Markus H. Landmann, Reiner S. Thomä:
Misspecification Under the Narrowband Assumption: A Cramér-Rao Bound Perspective. 1524-1528 - Nidhal Balti, Baptiste Vrigneau, Pascal Scalart:
Sensor-Aided NILM with Gaussian Mixture Models. 1529-1533 - William W. Zheng, Jamison R. Ebert, Stefano Rini, Jean-François Chamberland:
Coding for the Unsourced A-Channel with Erasures: The Linked Loop Code. 1534-1538 - Konstantinos D. Katsanos, George C. Alexandropoulos:
Spatial Secrecy Spectral Efficiency Optimization Enabled by Reconfigurable Intelligent Surfaces. 1539-1543 - Zhuoqian Jiang, Jingmin Xin, Weiliang Zuo, Nanning Zheng, Akira Sano:
A Toeplitz Prior-Based Deep Learning Framework for DOA Estimation with Unknown Mutual Coupling. 1544-1548 - Xinnan Zhang, Yuanbo Cheng, Xiaolei Shang, Jun Liu:
Mixed-Precision Arrangement via CRB for DOA Estimation Using SLA. 1549-1553 - Jianhua Wang, Lucien Bacharach, Mohammed Nabil El Korso, Pascal Larzabal:
Barankin Bound vs Cramér-Rao Bound for Interferometric-Like Array Design at Low SNR. 1554-1558 - Yani Zhang, Tianyi Liu, Marius Pesavento:
Direction-of-Arrival Estimation for Correlated Sources and Low Sample Size. 1559-1563 - Faizan A. Khattak, Ian K. Proudler, Stephan Weiss:
Extension of Power Method to Para-Hermitian Matrices: Polynomial Power Method. 1564-1568 - Nazila Karimian Sichani, Mohammad Alaee-Kerahroodi, Ehsan Raei, Bhavani Shankar M. R., Esfandiar Mehrshahi, Seyed Ali Ghorashi:
MIMO Virtual Array Design for mmWave 4D-Imaging Radar Sensors. 1569-1573 - Ahmed Murtada, Bhavani Shankar Mysore Rama Rao, Udo Schroeder:
GLRT Detector for Aspect-Dependent Fluctuating Targets Using Distributed mmWave MIMO Radar Sensors. 1574-1578 - Xiaohan Zhao, Yongzhe Li, Ran Tao:
Multi-Unimodular Waveform Design With Low Peak Sidelobe Level Via Direct Phase Optimizations. 1579-1583 - Xianyang Zheng, Junze Zhu, Qian He:
Power Allocation in MIMO Collaborative Co-Existing Radar and Communications Systems: A Non-Cooperative Game Approach. 1584-1588 - Costas A. Kokke, Mario Coutiño, Richard Heusdens, Geert Leus, Laura Anitori:
Robust Pareto-Optimal Radar Receive Filter Design for Noise and Sidelobe Suppression. 1589-1593 - Aylin Tastan, Michael Muma, Esa Ollila, Abdelhak M. Zoubir:
Sparsity-Aware Block Diagonal Representation for Subspace Clustering. 1594-1598 - John Stewart Fabila-Carrasco, Chao Tan, Javier Escudero:
Graph-based Multivariate Multiscale Permutation Entropy: Study of Robustness to Noise and Application to Two-Phase Flow Data. 1599-1603 - Yezi Liu, Qinggang Zhang, Mengnan Du, Xiao Huang, Xia Hu:
Error Detection on Knowledge Graphs with Triple Embedding. 1604-1608 - Thummaluru Siddartha Reddy, Sundeep Prabhakar Chepuri, Pierre Borgnat:
Clustering with Simplicial Complexes. 1609-1613 - Alexander Jung, S. Abdurakhmanova, Olga Kuznetsova, Yasmin Sarcheshmehpour:
Towards Model-Agnostic Federated Learning over Networks. 1614-1618 - Sai Kiran Kadambari, Sundeep Prabhakar Chepuri:
Product Graph Gaussian Processes for Multi-Domain Data Imputation and Active Learning. 1619-1623 - Gerald C. Nwalozie, Martin Haardt:
Robust Beamforming for Reconfigurable Intelligent Surfaces-Aided Dynamic TDD Systems. 1624-1628 - Stephan Weiss, Sebastian J. Schlecht, Orchisama Das, Enzo De Sena:
Polynomial Procrustes Problem: Paraunitary Approximation of Matrices of Analytic Functions. 1629-1633 - Xianlian Lin, Yongwei Huang, Wenzheng Yang, Jingwei Xu:
Robust Adaptive Beamforming with Multiple Signal Mismatch Constraints: A Sequential Convex Approximation Method. 1634-1638 - Marc Greige, Ahmad Karfoul, Isabelle Merlet, Régine Le Bouquin Jeannes:
Nonlinear Causality Inference Using a Robust ERR-Based Method in the Context of Epilepsy. 1639-1643 - Malte Larsson, Viktor Larsson, Magnus Oskarsson:
Efficient Time-of-Arrival Self-Calibration using Source Implicitization. 1644-1648 - Sean M. Kennedy, Murali Tummala, John McEachen:
Topological Estimation of Number of Sources in Linear Monocomponent Mixtures. 1649-1653 - Cem Ates Musluoglu, Alexander Bertrand:
A Distributed Adaptive Algorithm for Node-Specific Signal Fusion Problems in Wireless Sensor Networks. 1654-1658 - Pedro E. Gória Silva, Plínio S. Dester, Harun Siljak, Nicola Marchetti, Pedro H. J. Nardelli, Rausley Adriano Amaral de Souza:
Improving Event Transmissions via Novel Multiuser Communication Scheme. 1659-1663 - Mohammad Sadeghi, Bertrand Rivet, Massoud Babaie-Zadeh:
Optimal Sensor Placement for Source Separation with Noisy Measurements. 1664-1668 - Ehsan Eqlimi, Bahador Makkiabadi, Mayadeh Kouti, Ardeshir Fotouhi, Saeid Sanei:
Underdetermined Blind Identification Via $k$-Sparse Component Analysis: RANSAC-driven Orthogonal Subspace Search. 1669-1673 - Sepideh Gherekhloo, Khaled Ardah, André Lima Férrer de Almeida, Marjan Maleki, Martin Haardt:
Nested PARAFAC Tensor-Based Channel Estimation Method for Double RIS-Aided MIMO Communication Systems. 1674-1678 - Arthur Charléty, Olivier J. J. Michel, Mathieu Le Breton:
Kalman Smoothing for better RFID Landslide Monitoring. 1679-1682 - Gerald C. Nwalozie, Damir Rakhimov, Martin Haardt:
Near-Field Beamforming for MU-MIMO Millimeter Wave Communication System. 1683-1687 - Gerald C. Nwalozie, Martin Haardt:
Leakage-Based Coordinated Beamforming for Reconfigurable Intelligent Surfaces-Aided Dynamic TDD Systems. 1688-1692 - Murtuza Petladwala, Takahiro Kumura, Chul-Woo Kim:
VibFormer Vibration Translation for Bridge Live-Load Displacement Monitoring. 1693-1697 - Ophélie Renaud, Naouel Haggui, Karol Desnos, Jean-François Nezan:
Automated Clustering and Pipelining of Dataflow Actors for Controlled Scheduling Complexity. 1698-1702 - Lei Yang, Yuzhe Hao, Koichi Shinoda:
Sensor Data Representation with Transformer-Based Contrastive Learning for Human Action Recognition and Detection. 1703-1707 - Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra:
Transform Based Subspace Interpolation for Unsupervised Domain Adaptation Applied to Machine Inspection. 1708-1712 - Ahmad Karfoul, Amar Kachenoura, Laurent Albera:
A Unified Approach for Inverse Problem in EEG and Brain Connectivity with Application to Epilepsy. A Proof of Concept Study. 1713-1717 - Abderrahim Halimi, Stephen McLaughlin:
Plug-and-Play for Joint Deblurring and Guided Super-Resolution of Single-Photon 3D Lidar data. 1718-1722 - Olivier Flasseur, Théo Bodrito, Julien Mairal, Jean Ponce, Maud Langlois, Anne-Marie Lagrange:
Combining Multi-Spectral Data With Statistical and Deep-Learning Models for Improved Exoplanet Detection in Direct Imaging at High Contrast. 1723-1727 - Yankai Zhang, Jiayi Mao, Yefeng Cai, Chao Ye, Qiaoxi Zhu:
Broadband Frequency-Invariant Broadside Beamforming with a Differential Loudspeaker Array. 1728-1732 - Naibedya Pattnaik, Kriti Kumar, Achanna Anil Kumar, M. Girish Chandra:
Graph Assisted Unsupervised Domain Adaptation for Machine Fault Diagnosis. 1733-1737 - Xi Yao, Wei Dai:
A Projected Proximal Gradient Method for Efficient Recovery of Spectrally Sparse Signals. 1738-1742 - Juan Parras, Santiago Zazo:
Negotiation Strategies to Improve Distributed Power Allocation for Self-Organizing Heterogeneous Networks. 1743-1747 - Théo Guyard, Gilles Monnoyer, Clément Elvira, Cédric Herzet:
Safe Peeling for $\ell_{0}$-Regularized Least-Squares. 1748-1752 - Alexandra Dache, Arnaud Vandaele, Nicolas Gillis, Nicolas Nadisic:
Exact and Heuristic Methods for Simultaneous Sparse Coding. 1753-1757 - Fatemeh Yaghoobi, Hany Abdulsamad, Simo Särkkä:
A Recursive Newton Method for Smoothing in Nonlinear State Space Models. 1758-1762 - Maria Åkesson, Oskar Keding, Isabella Reinhold, Maria Sandsten:
Highly Accurate and Noise-Robust Phase Delay Estimation using Multitaper Reassignment. 1763-1767 - Eric J. Grivel, Bastien Berthelot, Pierrick Legrand, Gaetan Colin:
Null or Linear-Phase Filters for the Derivation of a New Variant of the MSE. 1768-1772 - Yusong Yan, Hongmei Zhu:
The Discrete Orthogonal Stockwell Transforms for Infinite-Length Signals and Their Real-Time Implementations. 1773-1777 - Janka Lengyel, Stéphane G. Roux, Ptashanna Thiraux, Patrice Abry, Olivier Bonin, Stéphane Jaffard:
Bivariate Multifractal Analysis for Non-Homogenous Point Processes, with Application to Geospatial Data. 1778-1782 - Juan Manuel Miramont, Quentin Legros, Dominique Fourer, François Auger:
Benchmarks of Multi-Component Signal Analysis Methods. 1783-1787 - Christoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila, Yongsung Park:
Robust Sparse Bayesian Learning for DOA. 1788-1792 - Imen Ayadi, Florent Bouchard, Frédéric Pascal:
t-WDA: A novel Discriminant Analysis applied to EEG classification. 1793-1797 - Artur Gancza, Marta Chelkowska, Natalia Kleinschmidt:
Towards Robust Identification of Nonstationary Systems. 1798-1802 - Takumi Ichinose, Masahiro Yukawa, Renato L. G. Cavalcante:
Online Kernel-Based Quantile Regression Using Huberized Pinball Loss. 1803-1807 - Lorena Leon, Herwig Wendt, Jean-Yves Tourneret, Patrice Abry:
A Robust Model and its EM Algorithm for the Estimation of the Multifractality Parameter. 1808-1812 - Patrice Abry, Gersende Fort, Barbara Pascal, Nelly Pustelnik:
Proximal-Langevin Samplers for Nonsmooth Composite Posteriors: Application to the Estimation of Covid19 Reproduction Number. 1813-1817 - S. Hamed Javadi, Ruoyu Feng, André Bourdoux, Hichem Sahli:
Multi-target tracking pipeline for MIMO-FMCW radars based on modified GM-PHD. 1818-1822 - Nizar Bouhlel, Félix Mercier, Angelina El Ghaziri, David Rousseau:
Parameter Estimation of the Normal Ratio Distribution with Variational Inference. 1823-1827 - Dongrui Shen, Stephen McLaughlin, Yoann Altmann:
Expectation-Propagation with Low-Rank Constraints for Linear Inverse Problems. 1828-1832 - Pierre Barbault, Matthieu Kowalski, Charles Soussen:
Marginal MAP Estimation of a Bernoulli-Gaussian Signal: Continuous Relaxation Approach. 1833-1837 - Adrien Corenflos, Hany Abdulsamad:
Variational Gaussian Filtering via Wasserstein Gradient Flows. 1838-1842 - Jelmer van der Hoeven, Alberto Natali, Geert Leus:
Forecasting Graph Signals with Recursive MIMO Graph Filters. 1843-1847 - Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila, Xinjue Wang:
Correlation-Based Graph Smoothness Measures In Graph Signal Processing. 1848-1852 - Haruki Yokota, Junya Hara, Yuichi Tanaka, Gene Cheung:
Signed Graph Balancing with Graph Cut. 1853-1857 - Benjamin Girault, Eduardo Pavez, Antonio Ortega:
Joint Graph and Vertex Importance Learning. 1858-1862 - Han Wang, Eduardo Pérez, Florian Römer:
Deep Learning-Based Optimal Spatial Subsampling in Ultrasound Nondestructive Testing. 1863-1867 - Zhentao Zou, Lin Chen, Xue Jiang, Pei Xiao:
Downlink Channel Estimation in FDD Massive MIMO Systems Based on Multi-Resolution Discrimination Dictionary Learning. 1868-1872 - Alexandros Gkillas, Dimitris Ampeliotis, Kostas Berberidis:
Deep Equilibrium Models Meet Federated Learning. 1873-1877 - Saurabh Sahu, Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra:
Label-Consistent Convolutional Dictionary Learning for Machine Inspection. 1883-1887 - Simone Orcioni, Alberto Carini, Stefania Cecchi, Massimo Conti:
Introducing Stochastic Functional Link Polynomial Filters. 1888-1892 - Peng Liu, Kailai Li, Gustaf Hendeby, Fredrik Gustafsson:
Weighted Total Least Squares for Quadratic Errors-in-Variables Regression. 1893-1897 - Zhong Liu, Xi Feng, Shengyao Chen:
Time Encoding Sampling of Bandpass Signals. 1898-1902 - Renke Wang, Pier Luigi Dragotti:
Perfect Reconstruction of Classes of 3D Non-Bandlimited Signals from Tomographic Projections at Unknown Angles. 1903-1907 - Long Shi, Lu Shen, Yuriy Zakharov, Rodrigo C. de Lamare:
Widely Linear Complex-Valued Spline-Based Algorithm for Nonlinear Filtering. 1908-1912 - Gang-Xuan Lin, Shih-Wei Hu, Chun-Shien Lu:
Extremely Lightweight Neural Network for Large-Scale Image Compressive Sensing. 1913-1917 - Antoine Honoré, Anubhab Ghosh, Saikat Chatterjee:
Compressed Sensing of Generative Sparse-Latent (GSL) Signals. 1918-1922 - Ketan Atul Bapat, Mrityunjoy Chakraborty:
Convex Combination of Compressed Sensing Algorithms. 1923-1927 - Prakash B. Gohain, Magnus Jansson:
Model Selection in High-Dimensional Block-Sparse General Linear Regression. 1928-1932 - Sanhita Guha, Faisal Ahmed, Miguel Heredia Conde:
A Novel Approach for Solving MPI for Multi-Target ToF Imaging Using Subdivision-Based Nested Compressed Sensing. 1933-1937 - María Elena Domínguez Jiménez:
Compressive Sampling Patterns for Sparse Recovery via Discrete Cosine Transform Type-I Even. 1938-1942 - Alvaro Lopez Paredes, Miguel Heredia Conde:
On the Formulation of Coded Demodulation and 3D Reconstruction in Rotating PB-ToF sensors. 1943-1947 - Yu Lu, Roummel F. Marcia:
Negative Binomial Optimization for Low-Count Overdispersed Sparse Signal Reconstruction. 1948-1952 - Renke Wang, Thierry Blu, Pier Luigi Dragotti:
Reconstruction of Images with Finite Rate of Innovation from Noisy Tomographic Projections. 1953-1957 - Claudio Battiloro, Paolo Di Lorenzo, Alejandro Ribeiro:
Parametric Dictionary Learning for Topological Signal Representation. 1958-1962 - Fuli Wang, Karelia Pena-Pena, Wei Qian, Gonzalo R. Arce:
A Unified View Between Tensor Hypergraph Neural Networks And Signal Denoising. 1968-1972 - Benoît Loucheur, Pierre-Antoine Absil, Michel Journée:
Graph-Based Matrix Completion Applied to Weather Data. 1973-1977 - Wojciech Zulawinski, Agnieszka Wylomanska, Radoslaw Zimroz:
Yule-Walker-Based Approaches for Estimation of Noise-Corrupted Periodic Autoregressive Model - Finite- and Infinite-Variance Cases. 1978-1982 - Arvid Trapp, Peter Wolfsteiner:
Deconvolution of Cyclo-Stationary Processes Using Higher-Order Cross-Frequency Correlation. 1983-1987 - Pranava Singhal, Waqar Mirza, Ajit Rajwade, Karthik S. Gurumoorthy:
Estimating Joint Probability Distribution with Low-Rank Tensor Decomposition, Radon Transforms and Dictionaries. 1988-1992 - Oskar Keding, Maria Åkesson, Maria Sandsten:
Coherence Expectation Minimisation and Combining Weighted Multitaper Estimates. 1993-1997 - Meryem Jabloun:
Local Legendre Polynomial Fitting-Based Preprocessing for Improving the Interpretation of Permutation Entropy in Stationary Time Series. 1998-2002 - Pertami J. Kunz, Abdelhak M. Zoubir:
Complex Seasonal Circular Block Bootstrap for Electricity Load Forecasting. 2003-2007 - Christian Musso, Aurélie Bouchard, Magalie Buguet:
Optimal Data Fusion for Thunderstorm Risk Assessment by the Saddlepoint Method. 2013-2017 - Simo Särkkä, Ángel F. García-Fernández:
On The Temporal Parallelisation of The Viterbi Algorithm. 2018-2022 - Mengxi Yi, Klaus Nordhausen:
Elasso for Estimating the Signal Dimension in ICA. 2023-2027 - Khashayar Bayati, Karthikeyan Umapathy, Soosan Beheshti:
Granger Causality Pattern Learning Equipped with Noise Invalidation Soft Thresholding. 2028-2032 - Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard:
Online Change Point Detection on Riemannian Manifolds with Karcher Mean Estimates. 2033-2037 - Shreya Das, Kundan Kumar, Shovan Bhaumik:
Bearings-Only Tracking With Speed and Range Constraints. 2038-2042 - Mati Wax, Amir Adler:
Subspace Outliers Detection by Signal Subspace Matching. 2043-2047
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