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ORCIDAndreas Spanias
Andreas S. Spanias
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- affiliation: Arizona State University, Tempe, Arizona, USA
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2020 – today
- 2020
[j57]Gowtham Muniraju
, Cihan Tepedelenlioglu, Andreas Spanias:
Consensus Based Distributed Spectral Radius Estimation. IEEE Signal Process. Lett. 27: 1045-1049 (2020)- [j56]Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias:
GrAMME: Semisupervised Learning Using Multilayered Graph Attention Models. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3977-3988 (2020) - [c181]Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias:
A Regularized Attention Mechanism for Graph Attention Networks. ICASSP 2020: 3372-3376 - [c180]Odrika Iqbal, Saquib Siddiqui, Joshua Martin, Sameeksha Katoch, Andreas Spanias, Daniel Bliss, Suren Jayasuriya:
Design and FPGA Implementation of an Adaptive video Subsampling Algorithm for Energy-Efficient Single Object Tracking. ICIP 2020: 3065-3069 - [c179]Jie Fan, Sunil Rao, Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias:
Fault Classification in Photovoltaic Arrays Using Graph Signal Processing. ICPS 2020: 315-319 - [c178]Dominique Smith, Kristen Jaskie, John J. Cadigan, Joseph W. Marvin, Andreas Spanias:
Machine Learning For Fast Short-Term Energy Load Forecasting. ICPS 2020: 433-436 - [c177]Kristen Jaskie, Joshua Martin, Sunil Rao, W. Barnard, Photini Spanias, Elias Kyriakides, Yiannis Tofis, Lenos Hadjidemetriou, Maria K. Michael, Theocharis Theocharides, S. Hadjistassou, Andreas Spanias:
IRES Program in Sensors and Machine Learning for Energy Systems. IISA 2020: 1-5 - [c176]Kristen Jaskie, Dominique Smith, Andreas Spanias:
Deep Learning Networks for Vectorized Energy Load Forecasting. IISA 2020: 1-7 - [c175]Andreas Spanias:
Machine Learning Workforce Development Programs on Health and COVID-19 Research. IISA 2020: 1-4 - [c174]Joshua Vandermeer, Frank Giuliani, Erica Low, Katherine Thomasson, Andreas Spanias:
Real-Time Adaptive Noise and Echo Cancellation on a Compact Microcontroller. IISA 2020: 1-5 - [c173]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Rushil Anirudh, Andreas Spanias:
Unsupervised Audio Source Separation Using Generative Priors. INTERSPEECH 2020: 2657-2661 - [i30]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Rushil Anirudh, Andreas Spanias:
Unsupervised Audio Source Separation using Generative Priors. CoRR abs/2005.13769 (2020) - [i29]Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias:
Accurate and Robust Feature Importance Estimation under Distribution Shifts. CoRR abs/2009.14454 (2020) - [i28]Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias:
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks. CoRR abs/2009.14455 (2020) - [i27]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias:
Using Deep Image Priors to Generate Counterfactual Explanations. CoRR abs/2010.12046 (2020)
2010 – 2019
- 2019
- [b10]Henry Braun, Pavan K. Turaga, Andreas Spanias, Sameeksha Katoch, Suren Jayasuriya, Cihan Tepedelenlioglu:
Reconstruction-Free Compressive Vision for Surveillance Applications. Synthesis Lectures on Signal Processing, Morgan & Claypool Publishers 2019 - [j55]Jaime Zuniga-Mejia, Rafaela Villalpando Hernandez, César Vargas Rosales, Andreas Spanias:
A Linear Systems Perspective on Intrusion Detection for Routing in Reconfigurable Wireless Networks. IEEE Access 7: 60486-60500 (2019) - [j54]Mohit Shah, Ming Tu, Visar Berisha, Chaitali Chakrabarti, Andreas Spanias:
Articulation constrained learning with application to speech emotion recognition. EURASIP J. Audio Speech Music. Process. 2019: 14 (2019) - [j53]Xue Zhang, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias, Gowtham Muniraju:
Location estimation and detection in wireless sensor networks in the presence of fading. Phys. Commun. 32: 62-74 (2019) - [j52]Victor Solo, Maria Sabrina Greco, Danilo P. Mandic, Petar M. Djuric, Andreas Spanias, Mónica F. Bugallo:
Innovation Starts With Education: ICASSP 2019 Education Panel [SP Forum]. IEEE Signal Process. Mag. 36(5): 135-147 (2019) - [j51]Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias:
Analysis and Design of Robust Max Consensus for Wireless Sensor Networks. IEEE Trans. Signal Inf. Process. over Networks 5(4): 779-791 (2019) - [c172]Divya Mohan, Sameeksha Katoch, Suren Jayasuriya, Pavan K. Turaga, Andreas Spanias:
Adaptive Video Subsampling For Energy-Efficient Object Detection. ACSSC 2019: 103-107 - [c171]Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias:
Distributed Spectral Radius Estimation in Wireless Sensor Networks. ACSSC 2019: 1506-1510 - [c170]Kristen Jaskie, Charles Elkan, Andreas Spanias:
A Modified Logistic Regression for Positive and Unlabeled Learning. ACSSC 2019: 2007-2011 - [c169]Jie Fan, Cihan Tepedelenlioglu, Andreas Spanias:
Global Optimization of Graph Filters with Multiple Shift Matrices. ACSSC 2019: 2082-2086 - [c168]Jie Fan, Cihan Tepedelenlioglu, Andreas Spanias:
Graph Filtering with Multiple Shift Matrices. ICASSP 2019: 3557-3561 - [c167]Raksha Ramakrishna, Anna Scaglione, Andreas Spanias, Cihan Tepedelenlioglu:
Distributed Bayesian Estimation with Low-rank Data: Application to Solar Array Processing. ICASSP 2019: 4440-4444 - [c166]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias:
Designing an Effective Metric Learning Pipeline for Speaker Diarization. ICASSP 2019: 5806-5810 - [c165]Uday Shankar Shanthamallu, Sunil Rao, Abhinav Dixit, Vivek Sivaraman Narayanaswamy, Jie Fan, Andreas Spanias:
Introducing Machine Learning in Undergraduate DSP Classes. ICASSP 2019: 7655-7659 - [c164]Juan Andrade, Pavan K. Turaga, Andreas Spanias:
Spatially-Varying Sharpness Map Estimation Based on the Quotient of Spectral Bands. ICIP 2019: 4020-4024 - [c163]Vivek Sivaraman Narayanaswamy, Raja Ayyanar, Andreas Spanias, Cihan Tepedelenlioglu, Devarajan Srinivasan:
Connection Topology Optimization in Photovoltaic Arrays using Neural Networks. ICPS 2019: 167-172 - [c162]Sunil Rao, Andreas Spanias, Cihan Tepedelenlioglu:
Solar Array Fault Detection using Neural Networks. ICPS 2019: 196-200 - [c161]Juan Andrade, Sameeksha Katoch, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu, Kristen Jaskie:
Formation-aware Cloud Segmentation of Ground-based Images with Applications to PV Systems. IISA 2019: 1-7 - [c160]Kristen Jaskie, Andreas Spanias:
Positive And Unlabeled Learning Algorithms And Applications: A Survey. IISA 2019: 1-8 - [c159]Emma Pedersen, Sunil Rao, Sameeksha Katoch, Kristen Jaskie, Andreas Spanias, Cihan Tepedelenlioglu, Elias Kyriakides:
PV Array Fault Detection using Radial Basis Networks. IISA 2019: 1-4 - [i26]Vivek Sivaraman Narayanaswamy, Sameeksha Katoch, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias:
Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets. CoRR abs/1904.04161 (2019) - [i25]Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias:
Analysis and Design of Robust Max Consensus for Wireless Sensor Networks. CoRR abs/1904.09377 (2019) - [i24]Sameeksha Katoch, Kowshik Thopalli, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias:
Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning. CoRR abs/1911.10600 (2019) - 2018
- [b9]Sai Zhang, Cihan Tepedelenlioglu, Andreas Spanias, Mahesh K. Banavar:
Distributed Network Structure Estimation Using Consensus Methods. Synthesis Lectures on Communications, Morgan & Claypool Publishers 2018 - [j50]Huan Song, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Andreas Spanias:
Optimizing Kernel Machines Using Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5528-5540 (2018) - [j49]Alan Wisler, Visar Berisha, Andreas Spanias, Alfred O. Hero III:
Direct Estimation of Density Functionals Using a Polynomial Basis. IEEE Trans. Signal Process. 66(3): 558-572 (2018) - [c158]Huan Song, Deepta Rajan, Jayaraman J. Thiagarajan, Andreas Spanias:
Attend and Diagnose: Clinical Time Series Analysis Using Attention Models. AAAI 2018: 4091-4098 - [c157]Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias, Sai Zhang, Mahesh K. Banavar:
Max Consensus in the Presence of Additive Noise. ACSSC 2018: 1408-1412 - [c156]Abhinav Dixit, Uday Shankar Shanthamallu, Andreas Spanias, Visar Berisha, Mahesh K. Banavar:
Online Machine Learning Experiments in HTML5. FIE 2018: 1-5 - [c155]Andreas Spanias, Jennifer Blain Christen:
A Stem Reu Site on the Integrated Design of Sensor Devices and Signal Processing Algorithms. ICASSP 2018: 6991-6995 - [c154]Sameeksha Katoch, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu:
Fast Non-Linear Methods for Dynamic Texture Prediction. ICIP 2018: 2107-2111 - [c153]Sameeksha Katoch, Gowtham Muniraju, Sunil Rao, Andreas Spanias, Pavan K. Turaga, Cihan Tepedelenlioglu, Mahesh K. Banavar, Devarajan Srinivasan:
Shading prediction, fault detection, and consensus estimation for solar array control. ICPS 2018: 217-222 - [c152]Farib Khondoker, Sunil Rao, Andreas Spanias, Cihan Tepedelenlioglu:
Photovoltaic Array Simulation and Fault Prediction via Multilayer Perceptron Models. IISA 2018: 1-5 - [c151]Farib Khondoker, Trevor Thornton, Andreas Spanias, Uday Shankar Shanthamallu:
Optimizing Activity Detection via Sensor Fusion. IISA 2018: 1-5 - [c150]Huan Song, Megan M. Willi, Jayaraman J. Thiagarajan, Visar Berisha, Andreas Spanias:
Triplet Network with Attention for Speaker Diarization. INTERSPEECH 2018: 3608-3612 - [i23]Jongmin Lee, Cihan Tepedelenlioglu, Andreas Spanias:
Consensus-based Distributed Quantile Estimation in Sensor Networks. CoRR abs/1805.00154 (2018) - [i22]Huan Song, Megan M. Willi, Jayaraman J. Thiagarajan, Visar Berisha, Andreas Spanias:
Triplet Network with Attention for Speaker Diarization. CoRR abs/1808.01535 (2018) - [i21]Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias:
Attention Models with Random Features for Multi-layered Graph Embeddings. CoRR abs/1810.01405 (2018) - [i20]Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias:
Improving Robustness of Attention Models on Graphs. CoRR abs/1811.00181 (2018) - [i19]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias:
Designing an Effective Metric Learning Pipeline for Speaker Diarization. CoRR abs/1811.00183 (2018) - [i18]Xue Zhang, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias, Gowtham Muniraju:
Location Estimation and Detection in Wireless Sensor Networks in the Presence of Fading. CoRR abs/1811.01084 (2018) - 2017
- [j48]Gowtham Muniraju, Sunil Rao, Sameeksha Katoch, Andreas Spanias, Cihan Tepedelenlioglu, Pavan K. Turaga, Mahesh K. Banavar, Devarajan Srinivasan:
A Cyber-Physical Photovoltaic Array Monitoring and Control System. Int. J. Monit. Surveillance Technol. Res. 5(3): 33-56 (2017) - [c149]Sai Zhang, Cihan Tepedelenlioglu, Andreas Spanias:
Distributed center and coverage region estimation in wireless sensor networks using diffusion adaptation. ACSSC 2017: 1353-1357 - [c148]Mahesh K. Banavar, Houchao Gan, Benjamin Robistow, Andreas Spanias:
Signal processing and machine learning concepts using the reflections echolocation app. FIE 2017: 1-5 - [c147]Abhinav Dixit, Sameeksha Katoch, Photini Spanias, Mahesh K. Banavar, Huan Song, Andreas Spanias:
Development of signal processing online labs using HTML5 and mobile platforms. FIE 2017: 1-5 - [c146]Benjamin Robistow, Robert Newman, Thomas H. DePue, Mahesh K. Banavar, Dana M. Barry, Paul Curtis, Andreas Spanias:
Reflections: An eModule for echolocation education. ICASSP 2017: 1562-1566 - [c145]Huan Song, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
A deep learning approach to multiple kernel fusion. ICASSP 2017: 2292-2296 - [c144]Sunil Rao, Sameeksha Katoch, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu, Raja Ayyanar, Henry Braun, Jongmin Lee, Uday Shankar Shanthamallu, Mahesh K. Banavar, Devarajan Srinivasan:
A cyber-physical system approach for photovoltaic array monitoring and control. IISA 2017: 1-6 - [c143]Uday Shankar Shanthamallu, Andreas Spanias, Cihan Tepedelenlioglu, Mike Stanley:
A brief survey of machine learning methods and their sensor and IoT applications. IISA 2017: 1-8 - [c142]Andreas S. Spanias:
Solar energy management as an Internet of Things (IoT) application. IISA 2017: 1-4 - [i17]Alan Wisler, Visar Berisha, Andreas Spanias, Alfred O. Hero III:
A data-driven basis for direct estimation of functionals of distributions. CoRR abs/1702.06516 (2017) - [i16]Huan Song, Deepta Rajan, Jayaraman J. Thiagarajan, Andreas Spanias:
Attend and Diagnose: Clinical Time Series Analysis using Attention Models. CoRR abs/1711.03905 (2017) - [i15]Huan Song, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Andreas Spanias:
Optimizing Kernel Machines using Deep Learning. CoRR abs/1711.05374 (2017) - 2016
- [b8]Xue Zhang, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
Node Localization in Wireless Sensor Networks. Synthesis Lectures on Communications, Morgan & Claypool Publishers 2016, pp. 1-62 - [j47]Visar Berisha, Alan Wisler, Alfred O. Hero III, Andreas Spanias:
Empirically Estimable Classification Bounds Based on a Nonparametric Divergence Measure. IEEE Trans. Signal Process. 64(3): 580-591 (2016) - [c141]Henry Braun, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu:
Direct classification from compressively sensed images via deep Boltzmann machine. ACSSC 2016: 454-457 - [c140]Alan Wisler, Visar Berisha, Andreas Spanias, Julie M. Liss:
Noise robust dysarthric speech classification using domain adaptation. DMIAF 2016: 135-138 - [c139]Thomas H. DePue, Benjamin Robistow, Robert Newman, Kevin Mack, Mahesh K. Banavar, Tianqi Yang, Dana M. Barry, Paul Curtis, Andreas Spanias, Whitni Watkins:
An Android app for spatial acoustic analysis as a learning tool. FIE 2016: 1-5 - [c138]Andreas Spanias, Mahesh K. Banavar, Henry Braun, Photini Spanias, Yongpeng Zhang:
Development of course modules for multidisciplinary STEM education. FIE 2016: 1-5 - [c137]Sai Zhang, Jongmin Lee, Cihan Tepedelenlioglu, Andreas Spanias:
Distributed Estimation of the Degree Distribution in Wireless Sensor Networks. GLOBECOM 2016: 1-6 - [c136]Huan Song, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias, Pavan K. Turaga:
Consensus inference on mobile phone sensors for activity recognition. ICASSP 2016: 2294-2298 - [c135]Alan Wisler, Visar Berisha, Dennis Wei, Karthikeyan Ramamurthy, Andreas Spanias:
Empirically-estimable multi-class classification bounds. ICASSP 2016: 2594-2598 - [c134]Huan Song, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
Auto-context modeling using multiple Kernel learning. ICIP 2016: 1868-1872 - [c133]Andreas Spanias:
A brief survey of time- and frequency-domain adaptive filters. IISA 2016: 1-7 - [c132]Jongmin Lee, Michael Stanley, Andreas Spanias, Cihan Tepedelenlioglu:
Integrating machine learning in embedded sensor systems for Internet-of-Things applications. ISSPIT 2016: 290-294 - [c131]Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Berkay Kanberoglu, David H. Frakes, Kevin Bennett, Andreas Spanias:
Measuring glomerular number from kidney MRI images. Medical Imaging: Image Processing 2016: 978412 - [i14]Sai Zhang, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
Max Consensus in Sensor Networks: Non-linear Bounded Transmission and Additive Noise. CoRR abs/1602.01128 (2016) - [i13]Huan Song, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
A Deep Learning Approach To Multiple Kernel Fusion. CoRR abs/1612.09007 (2016) - 2015
- [b7]Steven R. Miller, Xue Zhang, Andreas Spanias:
Multipath Effects in GPS Receivers. Synthesis Lectures on Communications, Morgan & Claypool Publishers 2015 - [j46]Mahesh K. Banavar, Jun Jason Zhang, Bhavana Chakraborty, Homin Kwon, Ying Li, Huaiguang Jiang, Andreas Spanias, Cihan Tepedelenlioglu, Chaitali Chakrabarti, Antonia Papandreou-Suppappola:
An overview of recent advances on distributed and agile sensing algorithms and implementation. Digit. Signal Process. 39: 1-14 (2015) - [j45]Mohit Shah, Chaitali Chakrabarti, Andreas Spanias:
Within and cross-corpus speech emotion recognition using latent topic model-based features. EURASIP J. Audio Speech Music. Process. 2015: 4 (2015) - [j44]Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
Learning Stable Multilevel Dictionaries for Sparse Representations. IEEE Trans. Neural Networks Learn. Syst. 26(9): 1913-1926 (2015) - [j43]Sivaraman Dasarathan, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
Robust Consensus in the Presence of Impulsive Channel Noise. IEEE Trans. Signal Process. 63(8): 2118-2129 (2015) - [j42]Robert W. Santucci, Mahesh K. Banavar, Cihan Tepedelenlioglu, Andreas Spanias:
Nonlinear Amplify-and-Forward Distributed Estimation Over Nonidentical Channels. IEEE Trans. Veh. Technol. 64(11): 5390-5395 (2015) - [c130]Sai Zhang, Cihan Tepedelenlioglu, Andreas Spanias, Mahesh K. Banavar:
Node counting in wireless sensor networks. ACSSC 2015: 360-364 - [c129]Andreas Spanias:
An introductory signal processing course offered across the curriculum. SP/SPE 2015: 55-58 - [c128]Zinonas C. Antoniou, Andreas Panayides, Marios S. Pattichis, Stavros Stavrou, Edward Kyriacou, Andreas Spanias, Anthony G. Constantinides, Constantinos S. Pattichis:
Adaptive emergency scenery video communications using HEVC for responsive decision support in disaster incidents. EMBC 2015: 173-176 - [c127]Andreas Spanias, Paul Curtis, Photini Spanias, Mahesh K. Banavar:
A new signal processing course for digital culture. FIE 2015: 1-4 - [c126]Alan Wisler, Visar Berisha, Karthikeyan Ramamurthy, Andreas Spanias, Julie Liss:
Removing data with noisy responses in regression analysis. ICASSP 2015: 2066-2070 - [c125]Girish Kalyanasundaram, Mahesh K. Banavar, Andreas Spanias:
Audio modeling and loudness estimation with IJDSP mobile simulations. ICASSP 2015: 5550-5554 - [c124]Jongmin Lee, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
Nonlinear diffusion adaptation with bounded transmission over distributed networks. ICC 2015: 6707-6711 - [c123]Andreas Spanias:
Advances in speech and audio processing and coding. IISA 2015: 1-2 - [i12]Suhas Ranganath, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Shuang Hu, Mahesh K. Banavar, Andreas Spanias:
Undergraduate Signal Processing Laboratories for the Android Operating System. CoRR abs/1502.07026 (2015) - 2014
- [b6]Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga, Andreas Spanias:
Image Understanding Using Sparse Representations. Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers 2014 - [j41]Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias:
Recovering non-negative and combined sparse representations. Digit. Signal Process. 26: 21-35 (2014) - [j40]Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Deepta Rajan, Andreas Spanias, Anup Puri, David H. Frakes:
Kernel Sparse Models for Automated Tumor Segmentation. Int. J. Artif. Intell. Tools 23(3) (2014) - [j39]Robert W. Santucci, Mahesh K. Banavar, Cihan Tepedelenlioglu, Andreas Spanias:
Energy-Efficient Distributed Estimation by Utilizing a Nonlinear Amplifier. IEEE Trans. Circuits Syst. I Regul. Pap. 61-I(1): 302-311 (2014) - [j38]Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning. IEEE Trans. Image Process. 23(7): 2905-2915 (2014) - [c122]Prasanna Sattigeri, Jayaraman J. Thiagarajan, Mohit Shah, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
A scalable feature learning and tag prediction framework for natural environment sounds. ACSSC 2014: 1779-1783 - [c121]Mahesh K. Banavar, Deepta Rajan, Andrew Strom, Photini Spanias, Xue Sophia Zhang, Henry Braun, Andreas Spanias:
Embedding Android signal processing apps in a high school math class - An RET project. FIE 2014: 1-4 - [c120]Paul Curtis, Mahesh K. Banavar, Xue Zhang, Andreas Spanias, Vitor Weber:
Signals and systems demonstrations for undergraduates using Android-based localization. FIE 2014: 1-4 - [c119]Visar Berisha, Julie Liss, Steven Sandoval, Rene Utianski, Andreas Spanias:
Modeling pathological speech perception from data with similarity labels. ICASSP 2014: 915-919 - [c118]Henry Braun, Pavan K. Turaga, Andreas Spanias:
Direct tracking from compressive imagers: A proof of concept. ICASSP 2014: 8139-8142 - [c117]Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Peer-Timo Bremer, Andreas Spanias:
Automatic image annotation using inverse maps from semantic embeddings. ICIP 2014: 3107-3111 - [c116]Paul Curtis, Mahesh K. Banavar, Sai Zhang, Andreas Spanias, Vitor Weber:
Android acoustic ranging. IISA 2014: 118-123 - [c115]Mohit Shah, Chaitali Chakrabarti, Andreas Spanias:
A multi-modal approach to emotion recognition using undirected topic models. ISCAS 2014: 754-757 - [c114]Alan Wisler, Visar Berisha, Julie Liss, Andreas Spanias:
Domain invariant speech features using a new divergence measure. SLT 2014: 77-82 - [i11]Sivaraman Dasarathan, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
Robust Consensus in the Presence of Impulsive Channel Noise. CoRR abs/1408.3704 (2014) - [i10]Visar Berisha, Alan Wisler, Alfred O. Hero III, Andreas Spanias:
Empirically Estimable Classification Bounds Based on a New Divergence Measure. CoRR abs/1412.6534 (2014) - 2013
- [b5]Narayan Kovvali, Mahesh K. Banavar, Andreas Spanias:
An Introduction to Kalman Filtering with MATLAB Examples. Synthesis Lectures on Signal Processing, Morgan & Claypool Publishers 2013, ISBN 9781627051392, pp. 1-81 - [j37]Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
Mixing matrix estimation using discriminative clustering for blind source separation. Digit. Signal Process. 23(1): 9-18 (2013) - [j36]Sivaraman Dasarathan, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
Non-Linear Distributed Average Consensus Using Bounded Transmissions. IEEE Trans. Signal Process. 61(23): 6000-6009 (2013) - [c113]Xue Zhang, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
Distributed location detection in wireless sensor networks. ACSSC 2013: 428-432 - [c112]Sai Zhang, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
Max-consensus using the soft maximum. ACSSC 2013: 433-437 - [c111]Deepta Rajan, Andreas Spanias, Suhas Ranganath, Mahesh K. Banavar, Photini Spanias:
Health monitoring laboratories by interfacing physiological sensors to mobile android devices. FIE 2013: 1049-1055 - [c110]Sai Zhang, Mahesh K. Banavar, Andreas Spanias, Cihan Tepedelenlioglu, Xue Zhang:
Java tools for teaching OFDM principles in undergraduate courses. FIE 2013: 1459-1461 - [c109]Harish Krishnamoorthi, Andreas Spanias:
Sinusoidal component selection based on partial loudness criteria. ICASSP 2013: 575-579 - [c108]Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias, Prasanna Sattigeri:
Boosted dictionaries for image restoration based on sparse representations. ICASSP 2013: 1583-1587 - [c107]Henry Braun, Pavan K. Turaga, Cihan Tepedelenlioglu, Andreas Spanias:
Optical flow for compressive sensing video reconstruction. ICASSP 2013: 2267-2271 - [c106]Mohit Shah, Lifeng Miao, Chaitali Chakrabarti, Andreas Spanias:
A speech emotion recognition framework based on latent Dirichlet allocation: Algorithm and FPGA implementation. ICASSP 2013: 2553-2557 - [c105]Rushil Anirudh, Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias:
A heterogeneous dictionary model for representation and recognition of human actions. ICASSP 2013: 3472-3476 - [c104]Xue Zhang, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
CRLB for the localization error in the presence of fading. ICASSP 2013: 5150-5154 - [c103]Visar Berisha,