default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMark B. Sandler
Mark Sandler 0001
Person information
- affiliation: Queen Mary University of London, UK
Other persons with the same name
- Mark Sandler 0002
![[0000-0003-0352-6051]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0352-6051")
— Google (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[i38]Franco Caspe, Jordie Shier, Mark B. Sandler, Charalampos Saitis, Andrew P. McPherson:
Designing Neural Synthesizers for Low Latency Interaction. CoRR abs/2503.11562 (2025)- [i37]Rodrigo Diaz, Mark B. Sandler:
Fast Differentiable Modal Simulation of Non-linear Strings, Membranes, and Plates. CoRR abs/2505.05940 (2025) - [i36]Aditya Bhattacharjee, Ivan Meresman Higgs, Mark B. Sandler, Emmanouil Benetos:
Refining music sample identification with a self-supervised graph neural network. CoRR abs/2506.14684 (2025) - [i35]Jaza Syed, Ivan Meresman Higgs, Ondrej Cífka, Mark B. Sandler:
Exploiting Music Source Separation for Automatic Lyrics Transcription with Whisper. CoRR abs/2506.15514 (2025) - 2024
- [i34]Rodrigo Diaz, Carlos De La Vega Martin, Mark B. Sandler:
Towards Efficient Modelling of String Dynamics: A Comparison of State Space and Koopman based Deep Learning Methods. CoRR abs/2408.16650 (2024) - 2023
- [c156]Franco Caspe, Andrew P. McPherson, Mark B. Sandler:
FM Tone Transfer with Envelope Learning. Audio Mostly Conference 2023: 116-123 - [c155]Rodrigo Diaz, Ben Hayes, Charalampos Saitis, György Fazekas, Mark B. Sandler:
Rigid-Body Sound Synthesis with Differentiable Modal Resonators. ICASSP 2023: 1-5 - [c154]Jeff Miller, Johan Pauwels, Mark Sandler:
Polar Manhattan Displacement: Measuring Tonal Distances Between Chords Based on Intervallic Content. ISMIR 2023: 868-874 - [c153]Rodrigo Diaz, Charalampos Saitis, Mark B. Sandler:
Interactive Neural Resonators. NIME 2023 - [c152]Saurjya Sarkar, Louise Thorpe, Emmanouil Benetos, Mark Sandler:
Leveraging Synthetic Data for Improving Chamber Ensemble Separation. WASPAA 2023: 1-5 - [e1]Augusto Sarti, Fabio Antonacci, Mark Sandler, Paolo Bestagini, Simon Dixon, Beici Liang, Gaël Richard, Johan Pauwels:
Proceedings of the 24th International Society for Music Information Retrieval Conference, ISMIR 2023, Milan, Italy, November 5-9, 2023. 2023, ISBN 978-1-7327299-3-3 [contents] - [i33]Rodrigo Diaz, Charalampos Saitis, Mark Sandler:
Interactive Neural Resonators. CoRR abs/2305.14867 (2023) - [i32]Jordie Shier, Franco Caspe, Andrew Robertson, Mark Sandler, Charalampos Saitis, Andrew P. McPherson:
Differentiable Modelling of Percussive Audio with Transient and Spectral Synthesis. CoRR abs/2309.06649 (2023) - [i31]Franco Caspe, Andrew P. McPherson, Mark Sandler:
FM Tone Transfer with Envelope Learning. CoRR abs/2310.04811 (2023) - 2022
- [c151]Yudong Zhao, György Fazekas, Mark Sandler:
Transfer Learning for Violinist Identification. EUSIPCO 2022: 239-243 - [c150]Jeff Miller, Ken O'Hanlon, Mark B. Sandler:
Improving Balance in Automatic Chord Recognition with Random Forests. EUSIPCO 2022: 244-248 - [c149]Yudong Zhao, György Fazekas, Mark B. Sandler:
Violinist Identification Using Note-Level Timbre Feature Distributions. ICASSP 2022: 601-605 - [c148]Franco Caspe, Andrew McPherson, Mark Sandler:
DDX7: Differentiable FM Synthesis of Musical Instrument Sounds. ISMIR 2022: 608-616 - [c147]Saurjya Sarkar, Emmanouil Benetos, Mark Sandler:
EnsembleSet: a new high quality synthesised dataset for chamber ensemble separation. ISMIR 2022: 625-632 - [d3]Saurjya Sarkar, Emmanouil Benetos, Mark Sandler:
EnsembleSet. Version 1.0.0-multitracks. Zenodo, 2022 [all versions]
- [d2]Saurjya Sarkar, Emmanouil Benetos, Mark Sandler:
EnsembleSet. Version 1.0.0-multitracks+midi. Zenodo, 2022 [all versions] - [i30]Alejandro Delgado, Emir Demirel, Vinod Subramanian, Charalampos Saitis, Mark B. Sandler:
Deep Embeddings for Robust User-Based Amateur Vocal Percussion Classification. CoRR abs/2204.04646 (2022) - [i29]Alejandro Delgado, Charalampos Saitis, Emmanouil Benetos, Mark B. Sandler:
Deep Conditional Representation Learning for Drum Sample Retrieval by Vocalisation. CoRR abs/2204.04651 (2022) - [i28]Vinod Subramanian, Siddharth Gururani, Emmanouil Benetos, Mark B. Sandler:
Anomalous behaviour in loss-gradient based interpretability methods. CoRR abs/2207.07769 (2022) - [i27]Franco Caspe, Andrew McPherson, Mark Sandler:
DDX7: Differentiable FM Synthesis of Musical Instrument Sounds. CoRR abs/2208.06169 (2022) - [i26]Rodrigo Diaz, Ben Hayes, Charalampos Saitis, György Fazekas, Mark Sandler:
Rigid-Body Sound Synthesis with Differentiable Modal Resonators. CoRR abs/2210.15306 (2022) - 2021
- [j51]Ken O'Hanlon, Mark B. Sandler:
FifthNet: Structured Compact Neural Networks for Automatic Chord Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2671-2682 (2021) - [c146]Jeff Miller, Vincenzo Nicosia, Mark Sandler:
Discovering Common Practice: Using Graph Theory to Compare Harmonic Sequences in Musical Audio Collections. DLfM 2021: 93-97 - [c145]Yudong Zhao, Changhong Wang, György Fazekas, Emmanouil Benetos, Mark B. Sandler:
Violinist identification based on vibrato features. EUSIPCO 2021: 381-385 - [c144]Saurjya Sarkar, Emmanouil Benetos, Mark B. Sandler:
Vocal Harmony Separation Using Time-Domain Neural Networks. Interspeech 2021: 3515-3519 - [i25]Beici Liang, György Fazekas, Mark B. Sandler:
Transfer Learning for Piano Sustain-Pedal Detection. CoRR abs/2103.13219 (2021) - [i24]Alejandro Delgado, SKoT McDonald, Ning Xu, Charalampos Saitis, Mark B. Sandler:
Learning Models for Query by Vocal Percussion: A Comparative Study. CoRR abs/2110.09223 (2021) - 2020
- [j50]Cornelia Metzig, Matthew Gould, Roshan Noronha, Roshani Abbey, Mark Sandler, Caroline Colijn:
Classification of origin with feature selection and network construction for folk tunes. Pattern Recognit. Lett. 133: 356-364 (2020) - [j49]Panos Kudumakis, Thomas Wilmering, Mark B. Sandler, Víctor Rodríguez-Doncel, Laurent Boch, Jaime Delgado:
The Challenge: From MPEG Intellectual Property Rights Ontologies to Smart Contracts and Blockchains [Standards in a Nutshell]. IEEE Signal Process. Mag. 37(2): 89-95 (2020) - [j48]Florian Thalmann, Geraint A. Wiggins, Mark B. Sandler:
Representing Modifiable and Reusable Musical Content on the Web With Constrained Multi-Hierarchical Structures. IEEE Trans. Multim. 22(10): 2645-2658 (2020) - [c143]Vinod Subramanian, Arjun Pankajakshan, Emmanouil Benetos, Ning Xu, SKoT McDonald, Mark B. Sandler:
A Study on the Transferability of Adversarial Attacks in Sound Event Classification. ICASSP 2020: 301-305 - [c142]Ken O'Hanlon, Mark B. Sandler:
The Fifthnet Chroma Extractor. ICASSP 2020: 3752-3756 - [c141]Fred Bruford, Olivier Lartillot, SKoT McDonald, Mark B. Sandler:
Multidimensional similarity modelling of complex drum loops using the GrooveToolbox. ISMIR 2020: 263-270 - [c140]Florian Thalmann, Kazuyoshi Yoshii, Thomas Wilmering, Geraint A. Wiggins, Mark B. Sandler:
A Method for Analysis of Shared Structure in Large Music Collections using Techniques from Genetic Sequencing and Graph Theory. ISMIR 2020: 343-350 - [i23]Johan Pauwels, György Fazekas, Mark B. Sandler:
A Critical Look at the Applicability of Markov Logic Networks for Music Signal Analysis. CoRR abs/2001.06086 (2020)
2010 – 2019
- 2019
- [c139]Alejandro Delgado, SKoT McDonald, Ning Xu, Mark B. Sandler:
A New Dataset for Amateur Vocal Percussion Analysis. Audio Mostly Conference 2019: 17-23 - [c138]Fred Bruford, Mathieu Barthet, SKoT McDonald, Mark B. Sandler:
Modelling Musical Similarity for Drum Patterns: A Perceptual Evaluation. Audio Mostly Conference 2019: 131-138 - [c137]Dalia Senvaityte, Johan Pauwels, Mark B. Sandler:
Guitar String Separation Using Non-Negative Matrix Factorization and Factor Deconvolution. Audio Mostly Conference 2019: 239-243 - [c136]Vinod Subramanian, Emmanouil Benetos, Mark B. Sandler:
Robustness of Adversarial Attacks in Sound Event Classification. DCASE 2019: 239-243 - [c135]Delia Fano Yela, Dan Stowell, Mark B. Sandler:
Spectral Visibility Graphs: Application to Similarity of Harmonic Signals. EUSIPCO 2019: 1-5 - [c134]Beici Liang, György Fazekas, Mark B. Sandler:
Piano Sustain-pedal Detection Using Convolutional Neural Networks. ICASSP 2019: 241-245 - [c133]Ken O'Hanlon, Mark B. Sandler:
Comparing CQT and Reassignment Based Chroma Features for Template-based Automatic Chord Recognition. ICASSP 2019: 860-864 - [c132]Beici Liang, György Fazekas, Mark B. Sandler:
Transfer Learning for Piano Sustain-Pedal Detection. IJCNN 2019: 1-6 - [c131]Johan Pauwels, Ken O'Hanlon, Emilia Gómez, Mark B. Sandler:
20 Years of Automatic Chord Recognition from Audio. ISMIR 2019: 54-63 - [c130]Fred Bruford, Mathieu Barthet, SKoT McDonald, Mark B. Sandler:
Groove Explorer: An Intelligent Visual Interface for Drum Loop Library Navigation. IUI Workshops 2019 - [c129]Johan Pauwels, Mark B. Sandler:
A Web-Based System For Suggesting New Practice Material To Music Learners Based On Chord Content. IUI Workshops 2019 - [c128]Panos Kudumakis, Thomas Wilmering, Mark B. Sandler, Jeremy D. Foss:
MPEG Intellectual Property Rights Ontologies for Media Trading and Personalization. DataTV@TVX 2019 - [i22]Delia Fano Yela, Dan Stowell, Mark B. Sandler:
Visibility graphs for robust harmonic similarity measures between audio spectra. CoRR abs/1903.01976 (2019) - [i21]Delia Fano Yela, Florian Thalmann, Vincenzo Nicosia, Dan Stowell, Mark B. Sandler:
Efficient On-line Computation of Visibility Graphs. CoRR abs/1905.03204 (2019) - [i20]Vinod Subramanian, Emmanouil Benetos, Ning Xu, SKoT McDonald, Mark B. Sandler:
Adversarial Attacks in Sound Event Classification. CoRR abs/1907.02477 (2019) - 2018
- [j47]Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler:
The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Tagging. IEEE Trans. Emerg. Top. Comput. Intell. 2(2): 139-149 (2018) - [c127]Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho:
A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging. EUSIPCO 2018: 1870-1874 - [c126]Beici Liang, György Fazekas, Mark B. Sandler:
Piano Legato-Pedal Onset Detection Based on a Sympathetic Resonance Measure. EUSIPCO 2018: 2484-2488 - [c125]Delia Fano Yela, Dan Stowell, Mark B. Sandler:
Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation. LVA/ICA 2018: 280-289 - [c124]Adib Mehrabi, Keunwoo Choi, Simon Dixon, Mark B. Sandler:
Similarity Measures for Vocal-Based Drum Sample Retrieval Using Deep Convolutional Auto-Encoders. ICASSP 2018: 356-360 - [c123]Ken O'Hanlon, Mark B. Sandler:
Improved Detection of Semi-Percussive Onsets in Audio Using Temporal Reassignment. ICASSP 2018: 611-615 - [c122]Delia Fano Yela, Sebastian Ewert, Ken O'Hanlon, Mark B. Sandler:
Shift-Invariant Kernel Additive Modelling for Audio Source Separation. ICASSP 2018: 616-620 - [c121]Florian Thalmann, Thomas Wilmering, Mark B. Sandler:
Cultural Heritage Documentation and Exploration of Live Music Events with Linked Data. SAAM@ISWC 2018: 1-5 - [c120]Thomas Wilmering, Florian Thalmann, Mark B. Sandler:
Exploration of Grateful Dead Concerts and Memorabilia on the Semantic Web. ISWC (P&D/Industry/BlueSky) 2018 - [c119]Alo Allik, Florian Thalmann, Mark B. Sandler:
MusicLynx: Exploring Music Through Artist Similarity Graphs. WWW (Companion Volume) 2018: 167-170 - [i19]Adib Mehrabi, Keunwoo Choi, Simon Dixon, Mark B. Sandler:
Similarity measures for vocal-based drum sample retrieval using deep convolutional auto-encoders. CoRR abs/1802.05178 (2018) - [i18]Delia Fano Yela, Dan Stowell, Mark B. Sandler:
Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation. CoRR abs/1804.02325 (2018) - 2017
- [j46]Mi Tian, Mark B. Sandler:
Towards Music Structural Segmentation across Genres: Features, Structural Hypotheses, and Annotation Principles. ACM Trans. Intell. Syst. Technol. 8(2): 23:1-23:19 (2017) - [c118]Beici Liang, György Fazekas, Mark B. Sandler:
Recognition of Piano Pedalling Techniques Using Gesture Data. Audio Mostly Conference 2017: 9:1-9:5 - [c117]Angela McArthur, Mark Sandler, Rebecca Stewart:
Distance in audio for VR: constraints and opportunities. Audio Mostly Conference 2017: 28:1-28:7 - [c116]Ben White, Adib Mehrabi, Mark B. Sandler:
An Archival Echo: Recalling the public domain through real-time query by vocalisation. Audio Mostly Conference 2017: 42:1-42:4 - [c115]Elio Quinton, Ken O'Hanlon, Simon Dixon, Mark B. Sandler:
Tracking metrical structure changes with sparse-NMF. ICASSP 2017: 41-45 - [c114]Delia Fano Yela, Sebastian Ewert, Derry FitzGerald, Mark B. Sandler:
Interference reduction in music recordings combining Kernel Additive Modelling and Non-Negative Matrix Factorization. ICASSP 2017: 51-55 - [c113]Ken O'Hanlon, Sebastian Ewert, Johan Pauwels, Mark B. Sandler:
Improved template based chord recognition using the CRP feature. ICASSP 2017: 306-310 - [c112]Sebastian Ewert, Mark B. Sandler:
Structured dropout for weak label and multi-instance learning and its application to score-informed source separation. ICASSP 2017: 2277-2281 - [c111]Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho:
Convolutional recurrent neural networks for music classification. ICASSP 2017: 2392-2396 - [c110]Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho:
Transfer Learning for Music Classification and Regression Tasks. ISMIR 2017: 141-149 - [c109]Johan Pauwels, Ken O'Hanlon, György Fazekas, Mark B. Sandler:
Confidence Measures and Their Applications in Music Labelling Systems Based on Hidden Markov Models. ISMIR 2017: 279-285 - [c108]Beici Liang, György Fazekas, Andrew P. McPherson, Mark B. Sandler:
Piano pedaller: a measurement system for classification and visualisation of piano pedalling techniques. NIME 2017: 325-329 - [c107]Delia Fano Yela, Sebastian Ewert, Derry Fitzgerald, Mark B. Sandler:
On the Importance of Temporal Context in Proximity Kernels: A Vocal Separation Case Study. Semantic Audio 2017 - [c106]Sebastian Ewert, Mark B. Sandler:
An augmented lagrangian method for piano transcription using equal loudness thresholding and lstm-based decoding. WASPAA 2017: 146-150 - [i17]Delia Fano Yela, Sebastian Ewert, Derry FitzGerald, Mark B. Sandler:
On the Importance of Temporal Context in Proximity Kernels: A Vocal Separation Case Study. CoRR abs/1702.02130 (2017) - [i16]Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho:
Transfer learning for music classification and regression tasks. CoRR abs/1703.09179 (2017) - [i15]Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler:
On the Robustness of Deep Convolutional Neural Networks for Music Classification. CoRR abs/1706.02361 (2017) - [i14]Sebastian Ewert, Mark B. Sandler:
An Augmented Lagrangian Method for Piano Transcription using Equal Loudness Thresholding and LSTM-based Decoding. CoRR abs/1707.00160 (2017) - [i13]Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler:
A Comparison on Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging. CoRR abs/1709.01922 (2017) - [i12]Keunwoo Choi, György Fazekas, Kyunghyun Cho, Mark B. Sandler:
A Tutorial on Deep Learning for Music Information Retrieval. CoRR abs/1709.04396 (2017) - [i11]Delia Fano Yela, Sebastian Ewert, Ken O'Hanlon, Mark B. Sandler:
Shift-Invariant Kernel Additive Modelling for Audio Source Separation. CoRR abs/1711.00351 (2017) - 2016
- [j45]Pasi Saari, György Fazekas, Tuomas Eerola, Mathieu Barthet, Olivier Lartillot, Mark B. Sandler:
Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation. IEEE Trans. Affect. Comput. 7(2): 122-135 (2016) - [j44]Sebastian Ewert, Mark B. Sandler:
Piano Transcription in the Studio Using an Extensible Alternating Directions Framework. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 1983-1997 (2016) - [c105]Florian Thalmann, György Fazekas, Geraint A. Wiggins, Mark B. Sandler:
Creating, Visualizing, and Analyzing Dynamic Music Objects in the Browser with the Dymo Designer. Audio Mostly Conference 2016: 39-46 - [c104]Ken O'Hanlon, Mark B. Sandler:
Compositional chroma estimation using powered Euclidean distance. EUSIPCO 2016: 1237-1241 - [c103]Francisco J. Rodríguez-Serrano, Sebastian Ewert, Pedro Vera-Candeas, Mark B. Sandler:
A score-informed shift-invariant extension of complex matrix factorization for improving the separation of overlapped partials in music recordings. ICASSP 2016: 61-65 - [c102]Elio Quinton, Mark B. Sandler, Simon Dixon:
Estimation of the reliability of multiple rhythm features extraction from a single descriptor. ICASSP 2016: 256-260 - [c101]Ken O'Hanlon, Mark B. Sandler:
An iterative hard thresholding approach to ℓ0 sparse Hellinger NMF. ICASSP 2016: 4737-4741 - [c100]Sebastian Ewert, Siying Wang, Meinard Müller, Mark B. Sandler:
Score-Informed Identification of Missing and Extra Notes in Piano Recordings. ISMIR 2016: 30-36 - [c99]Alo Allik, György Fazekas, Mark B. Sandler:
An Ontology for Audio Features. ISMIR 2016: 73-79 - [c98]Michele Buccoli, Massimiliano Zanoni, György Fazekas, Augusto Sarti, Mark B. Sandler:
A Higher-Dimensional Expansion of Affective Norms for English Terms for Music Tagging. ISMIR 2016: 316-322 - [c97]Mi Tian, Mark B. Sandler:
Music Structural Segmentation Across Genres with Gammatone Features. ISMIR 2016: 561-567 - [c96]Keunwoo Choi, György Fazekas, Mark B. Sandler:
Automatic Tagging Using Deep Convolutional Neural Networks. ISMIR 2016: 805-811 - [c95]Mariano Mora-Mcginity, Alo Allik, György Fazekas, Mark B. Sandler:
MusicWeb: Music Discovery with Open Linked Semantic Metadata. MTSR 2016: 291-296 - [c94]Florian Thalmann, Alfonso Pérez Carrillo, György Fazekas, Geraint A. Wiggins, Mark B. Sandler:
The Mobile Audio Ontology: Experiencing Dynamic Music Objects on Mobile Devices. ICSC 2016: 47-54 - [c93]Alo Allik, György Fazekas, Mark B. Sandler:
Ontological Representation of Audio Features. ISWC (2) 2016: 3-11 - [c92]Alo Allik, Mariano Mora-Mcginity, György Fazekas, Mark B. Sandler:
MusicWeb: Music Discovery with Open Linked Semantic Metadata. ISWC (Posters & Demos) 2016 - [c91]Thomas Wilmering, György Fazekas, Mark B. Sandler:
AUFX-O: Novel Methods for the Representation of Audio Processing Workflows. ISWC (2) 2016: 229-237 - [c90]Thomas Wilmering, Mark B. Sandler:
Interdisciplinary Classification of Audio Effects in the Audio Effect Ontology. ISWC (Posters & Demos) 2016 - [c89]Keunwoo Choi, György Fazekas, Mark B. Sandler:
Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions. UMAP (Extended Proceedings) 2016 - [i10]Keunwoo Choi, György Fazekas, Mark B. Sandler:
Text-based LSTM networks for Automatic Music Composition. CoRR abs/1604.05358 (2016) - [i9]Keunwoo Choi, György Fazekas, Mark B. Sandler:
Automatic tagging using deep convolutional neural networks. CoRR abs/1606.00298 (2016) - [i8]Sebastian Ewert, Mark B. Sandler:
Piano Transcription in the Studio Using an Extensible Alternating Directions Framework. CoRR abs/1606.00785 (2016) - [i7]Keunwoo Choi, György Fazekas, Mark B. Sandler:
Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions. CoRR abs/1606.02096 (2016) - [i6]Keunwoo Choi, György Fazekas, Mark B. Sandler:
Explaining Deep Convolutional Neural Networks on Music Classification. CoRR abs/1607.02444 (2016) - [i5]Keunwoo Choi, György Fazekas, Mark B. Sandler:
Towards Music Captioning: Generating Music Playlist Descriptions. CoRR abs/1608.04868 (2016) - [i4]Keunwoo Choi, György Fazekas, Mark B. Sandler, Kyunghyun Cho:
Convolutional Recurrent Neural Networks for Music Classification. CoRR abs/1609.04243 (2016) - [i3]Sebastian Ewert, Mark B. Sandler:
Structured Dropout for Weak Label and Multi-Instance Learning and Its Application to Score-Informed Source Separation. CoRR abs/1609.04557 (2016) - [i2]Delia Fano Yela, Sebastian Ewert, Derry FitzGerald, Mark B. Sandler:
Interference Reduction in Music Recordings Combining Kernel Additive Modelling and Non-Negative Matrix Factorization. CoRR abs/1609.06210 (2016) - 2015
- [c88]Mathieu Barthet, György Fazekas, Alo Allik, Mark B. Sandler:
Moodplay: an interactive mood-based musical experience. Audio Mostly Conference 2015: 3:1-3:8 - [c87]Mi Tian, György Fazekas, Dawn A. A. Black, Mark B. Sandler:
On the use of the tempogram to describe audio content and its application to Music structural segmentation. ICASSP 2015: 419-423 - [c86]Sebastian Ewert, Mark D. Plumbley, Mark B. Sandler:
A dynamic programming variant of non-negative matrix deconvolution for the transcription of struck string instruments. ICASSP 2015: 569-573 - [c85]Ken O'Hanlon, Mark B. Sandler, Mark D. Plumbley:
Non-negative matrix factorisation incorporating greedy hellinger sparse coding applied to polyphonic music transcription. ICASSP 2015: 2214-2218 - [i1]Keunwoo Choi, György Fazekas, Mark B. Sandler:
Understanding Music Playlists. CoRR abs/1511.07004 (2015) - 2014
- [j43]Panos Kudumakis, Mark B. Sandler, Angelos-Christos G. Anadiotis, Iakovos S. Venieris, Angelo Difino, Xin Wang, Giuseppe Tropea, Michael Grafl, Víctor Rodríguez-Doncel, Silvia Llorente, Jaime Delgado:
MPEG-M: A digital media ecosystem for interoperable applications. Signal Process. Image Commun. 29(1): 150-166 (2014) - [c84]Sebastian Ewert, Mark D. Plumbley, Mark B. Sandler:
Accounting for phase cancellations in non-negative matrix factorization using weighted distances. ICASSP 2014: 649-653 - [c83]Mi Tian, Ajay Srinivasamurthy, Mark B. Sandler, Xavier Serra:
A study of instrument-wise onset detection in Beijing Opera percussion ensembles. ICASSP 2014: 2159-2163 - [c82]Mi Tian, György Fazekas, Dawn A. A. Black, Mark B. Sandler:
Design And Evaluation of Onset Detectors using Different Fusion Policies. ISMIR 2014: 631-636 - [c81]Chris Baume, György Fazekas, Mathieu Barthet, David Marston, Mark B. Sandler:
Selection of Audio Features for Music Emotion Recognition Using Production Music. Semantic Audio 2014 - [c80]Carl Bussey, Michael Terrell, Raihan Rahman, Mark B. Sandler:
Metadata Features that Affect Artificial Reverberator Intensity. Semantic Audio 2014 - [c79]Rubén Jesús García, Costantino Taglialatela, Panos Kudumakis, Isabel Barbancho, Lorenzo J. Tardón, Mark B. Sandler:
Interactive Music Applications by MPEG-A Support in Sonic Visualizer. Semantic Audio 2014 - [c78]Steven Hargreaves, Geraint A. Wiggins, Mark B. Sandler:
A Semantic Web Approach to Pattern Discovery in Data and Music. Semantic Audio 2014 - [c77]Sefki Kolozali, György Fazekas, Mathieu Barthet, Mark B. Sandler:
A Framework for Automatic Ontology Generation Based on Semantic Audio Analysis. Semantic Audio 2014 - [c76]Ting Lou, Mathieu Barthet, György Fazekas, Mark B. Sandler:
Evaluation and Improvement of the Mood Conductor Interactive System. Semantic Audio 2014 - [d1]Mi Tian, Ajay Srinivasamurthy, Mark Sandler, Xavier Serra:
Beijing Opera Percussion Instrument Dataset. Zenodo, 2014 - 2013
- [j42]Xue Wen, Mark Sandler:
Fast Additive Sinusoidal Synthesis With a Subband Sinusoidal Method. IEEE Signal Process. Lett. 20(5): 467-470 (2013) - [j41]Sefki Kolozali, Mathieu Barthet, György Fazekas, Mark B. Sandler:
Automatic Ontology Generation for Musical Instruments Based on Audio Analysis. IEEE Trans. Speech Audio Process. 21(10): 2207-2220 (2013) - [c75]György Fazekas, Mathieu Barthet, Mark B. Sandler:
Mood Conductor: Emotion-Driven Interactive Music Performance. ACII 2013: 726 - [c74]György Fazekas, Mathieu Barthet, Mark B. Sandler:
Novel Methods in Facilitating Audience and Performer Interaction Using the Mood Conductor Framework. CMMR 2013: 122-147 - [c73]Mi Tian, György Fazekas, Dawn A. A. Black, Mark B. Sandler:
Towards the Representation of Chinese Traditional Music: A State of the Art Review of Music Metadata Standards. Dublin Core Conference 2013: 71-81 - [c72]Alo Allik, György Fazekas, Simon Dixon, Mark B. Sandler:
Facilitating Music Information Research with Shared Open Vocabularies. ESWC (Satellite Events) 2013: 178-183 - [c71]Alo Allik, György Fazekas, Simon Dixon, Mark B. Sandler:
A Shared Vocabulary for Audio Features. ESWC (Satellite Events) 2013: 285-286 - [c70]Sebastian Ewert, Meinard Müller, Mark B. Sandler:
Efficient data adaption for musical source separation methods based on parametric models. ICASSP 2013: 46-50 - [c69]György Fazekas, Mathieu Barthet, Mark B. Sandler:
Demo paper: The BBC Desktop Jukebox music recommendation system: A large scale trial with professional users. ICME Workshops 2013: 1-2 - [c68]Pasi Saari, Mathieu Barthet, György Fazekas, Tuomas Eerola, Mark B. Sandler:
Semantic models of musical mood: Comparison between crowd-sourced and curated editorial tags. ICME Workshops 2013: 1-6 - [c67]Pasi Saari, Tuomas Eerola, György Fazekas, Mathieu Barthet, Olivier Lartillot, Mark B. Sandler:
The Role of Audio and Tags in Music Mood Prediction: A Study Using Semantic Layer Projection. ISMIR 2013: 201-206 - [c66]Thomas Wilmering, György Fazekas, Mark B. Sandler:
The Audio Effects Ontology. ISMIR 2013: 215-220 - [c65]Katerina Kosta, Yading Song, György Fazekas, Mark B. Sandler:
A Study of Cultural Dependence of Perceived Mood in Greek Music. ISMIR 2013: 317-322 - [c64]Mathieu Barthet, David Marston, Chris Baume, György Fazekas, Mark B. Sandler:
Design and Evaluation of Semantic Mood Models for Music Recommendation using Editorial Tags. ISMIR 2013: 421-426 - [c63]György Fazekas, Mark B. Sandler:
Describing audio production workflows on the semantic web. WIAMIS 2013: 1-4 - 2012
- [j40]Michael Terrell, Mark B. Sandler:
An Offline, Automatic Mixing Method for Live Music, Incorporating Multiple Sources, Loudspeakers, and Room Effects. Comput. Music. J. 36(2): 37-54 (2012) - [j39]Steven Hargreaves, Anssi Klapuri, Mark B. Sandler:
Structural Segmentation of Multitrack Audio. IEEE Trans. Speech Audio Process. 20(10): 2637-2647 (2012) - [c62]Mathieu Barthet, György Fazekas, Mark B. Sandler:
Music Emotion Recognition: From Content- to Context-Based Models. CMMR 2012: 228-252 - [c61]Yves Raimond, Mark B. Sandler:
Evaluation of the Music Ontology Framework. ESWC 2012: 255-269 - 2011
- [j38]Inseon Jang, Panos Kudumakis, Mark B. Sandler, Kyeongok Kang:
The MPEG Interactive Music Application Format Standard [Standards in a Nutshell]. IEEE Signal Process. Mag. 28(1): 150-154 (2011) - [j37]Rebecca Stewart, Mark B. Sandler:
An Auditory Display in Playlist Generation. IEEE Signal Process. Mag. 28(4): 14-23 (2011) - [j36]Panos Kudumakis, Xin Wang, Sergio Matone, Mark B. Sandler:
MPEG-M: Multimedia Service Platform Technologies [Standards in a Nutshell]. IEEE Signal Process. Mag. 28(6): 159-163 (2011) - [j35]Benjamin Fields, Kurt Jacobson, Christophe Rhodes, Mark d'Inverno, Mark B. Sandler, Michael A. Casey:
Analysis and Exploitation of Musician Social Networks for Recommendation and Discovery. IEEE Trans. Multim. 13(4): 674-686 (2011) - [c60]Rebecca Stewart, Mark B. Sandler:
The amblr: A mobile spatial audio music browser. ICME 2011: 1-6 - [c59]Sefki Kolozali, Mathieu Barthet, György Fazekas, Mark B. Sandler:
Knowledge Representation Issues in Musical Instrument Ontology Design. ISMIR 2011: 465-470 - [c58]György Fazekas, Mark B. Sandler:
The Studio Ontology Framework. ISMIR 2011: 471-476 - [c57]György Fazekas, Thomas Wilmering, Mark B. Sandler:
A Knowledge Representation Framework for Context-Dependent Audio Processing. Semantic Audio 2011 - 2010
- [j34]Xue Wen, Mark Sandler:
On the Characterization of Slowly Varying Sinusoids. EURASIP J. Audio Speech Music. Process. 2010 (2010) - [c56]Rebecca Stewart, Panos Kudumakis, Mark B. Sandler:
Interactive Music Applications and Standards. CMMR 2010: 20-30 - [c55]Mathieu Barthet, Steven Hargreaves, Mark B. Sandler:
Speech/Music Discrimination in Audio Podcast Using Structural Segmentation and Timbre Recognition. CMMR 2010: 138-162 - [c54]Rebecca Stewart, Mark B. Sandler:
Database of omnidirectional and B-format room impulse responses. ICASSP 2010: 165-168 - [c53]Chris Cannam, Christian Landone, Mark B. Sandler:
Sonic visualiser: an open source application for viewing, analysing, and annotating music audio files. ACM Multimedia 2010: 1467-1468 - [c52]Sefki Kolozali, Mathieu Barthet, György Fazekas, Mark B. Sandler:
Towards the Automatic Generation of a Semantic Web Ontology for Musical Instruments. SAMT 2010: 186-187 - [c51]Thomas Wilmering, Mark B. Sandler:
RDFx: Audio Effects Utilising Musical Metadata. ICSC 2010: 452-453
2000 – 2009
- 2009
- [j33]Katy C. Noland, Mark B. Sandler:
Influences of Signal Processing, Tone Profiles, and Chord Progressions on a Model for Estimating the Musical Key from Audio. Comput. Music. J. 33(1): 42-56 (2009) - [j32]Yves Raimond, Christopher Sutton, Mark B. Sandler:
Interlinking Music-Related Data on the Web. IEEE Multim. 16(2): 52-63 (2009) - [j31]Mark Levy, Mark B. Sandler:
Music Information Retrieval Using Social Tags and Audio. IEEE Trans. Multim. 11(3): 383-395 (2009) - [c50]Wen Xue, Mark Sandler:
Additive and multiplicative reestimation schemes for the sinusoid modeling of audio. EUSIPCO 2009: 904-908 - [c49]Kurt Jacobson, Yves Raimond, Mark B. Sandler:
An Ecosystem for Transparent Music Similarity in an Open World. ISMIR 2009: 33-38 - [c48]Dan Tidhar, György Fazekas, Sefki Kolozali, Mark B. Sandler:
Publishing Music Similarity Features on the Semantic Web. ISMIR 2009: 447-452 - 2008
- [j30]Mark Levy, Mark B. Sandler:
Structural Segmentation of Musical Audio by Constrained Clustering. IEEE Trans. Speech Audio Process. 16(2): 318-326 (2008) - [j29]Joshua D. Reiss, Mark B. Sandler:
Detection and Removal of Limit Cycles in Sigma Delta Modulators. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(10): 3119-3130 (2008) - [c47]Kurt Jacobson, Mark B. Sandler:
Musically Meaningful or Just Noise? An Analysis of On-line Artist Networks. CMMR 2008: 107-118 - [c46]Ben Fields, Michael A. Casey, Kurt Jacobson, Mark B. Sandler:
Do You sound like your Friends? Exploring Artist Similarity via Artist Social Network Relationships and audio signal Processing. ICMC 2008 - [c45]Yves Raimond, Mark B. Sandler:
A Web of Musical Information. ISMIR 2008: 263-268 - [c44]Kurt Jacobson, Mark B. Sandler, Benjamin Fields:
Using Audio Analysis and Network Structure to Identify Communities in On-Line Social Networks of Artists. ISMIR 2008: 269-274 - [c43]Yves Raimond, Christopher Sutton, Mark B. Sandler:
Automatic Interlinking of Music Datasets on the Semantic Web. LDOW 2008 - 2007
- [j28]Xue Wen, Mark Sandler:
Calculation of radix-2 discrete multiresolution Fourier transform. Signal Process. 87(10): 2455-2460 (2007) - [j27]Emmanuel Ravelli, Juan Pablo Bello, Mark B. Sandler:
Automatic Rhythm Modification of Drum Loops. IEEE Signal Process. Lett. 14(4): 228-231 (2007) - [c42]Mark Levy, Katy C. Noland, Mark B. Sandler:
A Comparison of Timbral and Harmonic Music Segmentation Algorithms. ICASSP (4) 2007: 1433-1436 - [c41]Mark Levy, Mark B. Sandler:
A Semantic Space for Music Derived from Social Tags. ISMIR 2007: 411-416 - [c40]Yves Raimond, Samer A. Abdallah, Mark B. Sandler, Frederick Giasson:
The Music Ontology. ISMIR 2007: 417-422 - [c39]Yves Raimond, Christopher Sutton, Mark B. Sandler:
A distributed data space for music-related information. MS 2007: 81-89 - 2006
- [j26]Samer A. Abdallah, Mark B. Sandler, Christophe Rhodes, Michael A. Casey:
Using duration models to reduce fragmentation in audio segmentation. Mach. Learn. 65(2-3): 485-515 (2006) - [j25]Juan Pablo Bello, Laurent Daudet, Mark B. Sandler:
Automatic Piano Transcription Using Frequency and Time-Domain Information. IEEE Trans. Speech Audio Process. 14(6): 2242-2251 (2006) - [c38]Dawn A. A. Black, Mark B. Sandler:
A voicing decision driven forward error correction scheme for voice over IP applications. EUSIPCO 2006: 1-4 - [c37]Mark Levy, Mark B. Sandler:
New methods in structural segmentation of musical audio. EUSIPCO 2006: 1-5 - [c36]Andrew Nesbit, Mike E. Davies, Mark D. Plumbley, Mark B. Sandler:
Source extraction from two-channel mixtures by joint cosine packet analysis. EUSIPCO 2006: 1-5 - [c35]Mark Levy, Mark B. Sandler, Michael A. Casey:
Extraction of High-Level Musical Structure From Audio Data and Its Application to Thumbnail Generation. ICASSP (5) 2006: 13-16 - [c34]Nicolas Chetry, Mark B. Sandler:
Linear Predictive Models for Musical Instrument Identification. ICASSP (5) 2006: 225-228 - [c33]Juan Pablo Bello, Emmanuel Ravelli, Mark B. Sandler:
Drum Sound Analysis for the Manipulation of Rhythm in Drum Loops. ICASSP (5) 2006: 233-236 - [c32]Christophe Rhodes, Michael A. Casey, Samer A. Abdallah, Mark B. Sandler:
A Markov-Chain Monte-Carlo Approach to Musical Audio Segmentation. ICASSP (5) 2006: 797-800 - [c31]Katy C. Noland, Mark B. Sandler:
Key Estimation Using a Hidden Markov Model. ISMIR 2006: 121-126 - [c30]Chris Cannam, Christian Landone, Mark B. Sandler, Juan Pablo Bello:
The Sonic Visualiser: A Visualisation Platform for Semantic Descriptors from Musical Signals. ISMIR 2006: 324-327 - [c29]Yves Raimond, Samer A. Abdallah, Mark B. Sandler, Mounia Lalmas:
A Scalable Framework for Multimedia Knowledge Management. SAMT 2006: 11-25 - 2005
- [j24]Juan Pablo Bello, Laurent Daudet, Samer A. Abdallah, Chris Duxbury, Mike E. Davies, Mark B. Sandler:
A Tutorial on Onset Detection in Music Signals. IEEE Trans. Speech Audio Process. 13(5-2): 1035-1047 (2005) - [j23]Derk Reefman, Joshua D. Reiss, Erwin Janssen, Mark B. Sandler:
Description of limit cycles in sigma-delta modulators. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(6): 1211-1223 (2005) - [j22]Jean-Julien Aucouturier, François Pachet, Mark B. Sandler:
"The way it Sounds": timbre models for analysis and retrieval of music signals. IEEE Trans. Multim. 7(6): 1028-1035 (2005) - [c28]Christopher Harte, Mark B. Sandler, Samer A. Abdallah, Emilia Gómez:
Symbolic Representation of Musical Chords: A Proposed Syntax for Text Annotations. ISMIR 2005: 66-71 - [c27]Samer A. Abdallah, Katy C. Noland, Mark B. Sandler, Michael A. Casey, Christophe Rhodes:
Theory and Evaluation of a Bayesian Music Structure Extractor. ISMIR 2005: 420-425 - [c26]Wen Xue, Mark Sandler:
A Partial Searching Algorithm and Its Application for Polyphonic Music Transcription. ISMIR 2005: 690-695 - 2004
- [j21]Juan Pablo Bello, Chris Duxbury, Mike E. Davies, Mark B. Sandler:
On the use of phase and energy for musical onset detection in the complex domain. IEEE Signal Process. Lett. 11(6): 553-556 (2004) - [j20]Laurent Daudet, Mark B. Sandler:
MDCT analysis of sinusoids: exact results and applications to coding artifacts reduction. IEEE Trans. Speech Audio Process. 12(3): 302-312 (2004) - [c25]Chris Duxbury, Nicolas Chetry, Mark B. Sandler, Mike E. Davies:
An efficient two-stage implementation of harmonic matching pursuit. EUSIPCO 2004: 2271-2274 - [c24]Mark B. Sandler, Dawn A. A. Black:
Loss Resilient, Scalable Audio Compression and Streaming. EWIMT 2004 - [c23]Juan Pablo Bello, Mark B. Sandler:
Centre for Digital Music: Studio Report. ICMC 2004 - [c22]Josh Reiss, Mark B. Sandler:
Audio Issues In MIR Evaluation. ISMIR 2004 - 2003
- [c21]Juan Pablo Bello, Mark B. Sandler:
Phase-based note onset detection for music signals. ICASSP (5) 2003: 441-444 - 2002
- [j19]Mark D. Plumbley, Samer A. Abdallah, Juan Pablo Bello, Mike E. Davies, Giuliano Monti, Mark B. Sandler:
Automatic Music Transcription and Audio Source Separation. Cybern. Syst. 33(6): 603-627 (2002) - [c20]Laurent Daudet, Mark Sandler, Bruno Torrésani:
Audio representations on overcomplete sets. DSP 2002: 583-586 - [c19]Jeremy Pickens, Juan Pablo Bello, Tim Crawford, Matthew J. Dovey, Giuliano Monti, Mark B. Sandler:
Polyphonic Score Retrieval Using Polyphonic Audio Queries: A Harmonic Modeling Approach. ISMIR 2002 - 2000
- [j18]Gabriela Castellano, James F. Boyce, Mark B. Sandler:
Regularized CDWT optical flow applied to moving-target detection in IR imagery. Mach. Vis. Appl. 11(6): 277-288 (2000) - [c18]Christian Landone, Mark B. Sandler:
Applications of binaural processing to surround sound reproduction in large spaces. ISCAS 2000: 217-220 - [c17]Juan Pablo Bello, Giuliano Monti, Mark B. Sandler:
Techniques for Automatic Music Transcription. ISMIR 2000 - [c16]Daniel Bendor, Mark B. Sandler:
Time Domain Extraction of Vibrato from Monophonic Instruments. ISMIR 2000
1990 – 1999
- 1999
- [j17]R. Nawrocki, J. M. Goldberg, Mark B. Sandler:
Information-theoretic constraints on noise shaping networks with minimum noise power gain. Int. J. Circuit Theory Appl. 27(4): 437-441 (1999) - [c15]M. Price, Mark B. Sandler:
Investigation of a least squares method for high order filter synthesis. ISCAS (3) 1999: 315-318 - [c14]B. Leslie, Mark B. Sandler:
A wavelet packet algorithm for 1D data with no block end effects. ISCAS (3) 1999: 423-426 - 1998
- [c13]Tryphon Lambrou, Panos Kudumakis, Robert D. Speller, Mark B. Sandler, Alf D. Linney:
Classification of audio signals using statistical features on time and wavelet transform domains. ICASSP 1998: 3621-3624 - 1997
- [j16]Anthony Magrath, Mark B. Sandler:
A use of sigma-delta modulation in power digital-to-analogue conversion. Int. J. Circuit Theory Appl. 25(5): 439-455 (1997) - 1996
- [j15]Panos Kudumakis, Mark B. Sandler:
On the compression obtainable with four-tap wavelets. IEEE Signal Process. Lett. 3(8): 231-233 (1996) - 1995
- [c12]Panos Kudumakis, Mark B. Sandler:
On the performance of wavelets for low bit rate coding of audio signals. ICASSP 1995: 3087-3090 - [c11]Chris Dunn, Mark B. Sandler:
Linearising Sigma-Delta Modulators Using Dither and Chaos. ISCAS 1995: 625-628 - [c10]Simon M. Kershaw, Stephen Summerfield, Mark B. Sandler:
On Sigma-Delta Signal Processing Remodulator Complexity. ISCAS 1995: 881-884 - 1994
- [j14]T. Hanif, Mark B. Sandler:
A counter-based Hough transform system. Microprocess. Microsystems 18(1): 19-26 (1994) - [c9]Jonathan P. Mackenzie, Mark B. Sandler:
Modelling Sound with Chaos. ISCAS 1994: 93-96 - [c8]M. Price, Mark B. Sandler:
Implementation of the IPFE Algorithm for Synthesis of High Order Recursive Filters. ISCAS 1994: 529-532 - 1993
- [j13]Luciano da Fontoura Costa, Mark B. Sandler:
Effective Detection of Digital Bar Segments with Hough Transform. CVGIP Graph. Model. Image Process. 55(3): 180-191 (1993) - [c7]Anthony R. Hare, Mark B. Sandler:
General test framework for straight-line detection by Hough transforms. ISCAS 1993: 239-242 - [c6]Mark B. Sandler:
Implementation of high order recursive filters as sub-filters. ISCAS 1993: 599-602 - [c5]Michael Waters, Mark B. Sandler:
Least squares IIR filter design on a logarithmic frequency scale. ISCAS 1993: 635-638 - 1992
- [j12]L. Hayat, A. A. Naqvi, Mark B. Sandler:
Comparative evaluation of fast thinning algorithms on a multiprocessor architecture. Image Vis. Comput. 10(4): 210-218 (1992) - [c4]C. K. Chan, Mark B. Sandler:
A complete shape recognition system using the Hough transform and neural network. ICPR (2) 1992: 21-24 - 1991
- [j11]S. Zhou, Mark B. Sandler, G. D. Bergman:
A switched memory decoding system for a multiple processor system. Microprocess. Microsystems 15(9): 481-487 (1991) - 1990
- [j10]D. Ben-Tzvi, A. A. Naqvi, Mark B. Sandler:
Synchronous multiprocessor implementation of the Hough transform. Comput. Vis. Graph. Image Process. 52(3): 437-446 (1990) - [j9]Mark B. Sandler, L. Hayat, Luciano da Fontoura Costa:
Benchmarking processors for image processing. Microprocess. Microsystems 14(9): 583-588 (1990) - [j8]D. Ben-Tzvi, Mark B. Sandler:
A combinatorial Hough transform. Pattern Recognit. Lett. 11(3): 167-174 (1990)
1980 – 1989
- 1989
- [j7]D. Ben-Tzvi, A. A. Naqvi, Mark B. Sandler:
Efficient parallel implementation of the Hough transform on a distributed memory system. Image Vis. Comput. 7(3): 167-172 (1989) - [j6]Doron Ben-Tzvi, Mark B. Sandler:
Efficient parallel implementation of the hough transform on a distributed memory system. Microprocessing and Microprogramming 27(1-5): 147-152 (1989) - [j5]Mark Sandler:
High complexity resonator structures for formant synthesis of musical instruments. Microprocessing and Microprogramming 27(1-5): 557-562 (1989) - [j4]Shirin Eghtesadi, Mark Sandler:
Implementation of the Hough transform for intermediate-level vision on a transputer network. Microprocess. Microsystems 13(3): 212-218 (1989) - [j3]Luciano da Fontoura Costa, Mark B. Sandler:
A binary Hough transform and its efficient implementation in a systolic array architecture. Pattern Recognit. Lett. 10(5): 329-334 (1989) - [c3]Violet F. Leavers, D. Ben-Tzvi, Mark B. Sandler:
A Dynamic Combinatorial Hough Transform for Straight Lines and Circles. Alvey Vision Conference 1989: 1-6 - [c2]Mark B. Sandler, L. Hayat, L. Costa, A. A. Naqvi:
A comparative evaluation of DSPs, microprocessors and the transputer for image processing. ICASSP 1989: 1532-1535 - 1988
- [j2]Mark B. Sandler, Shirin Eghtesadi:
Transputer based implementations of the hough transform for computer vision. Microprocess. Microprogramming 24(1-5): 403-408 (1988) - [j1]Mark B. Sandler:
Interfacing the transputer to the TMS320 in an image processing environment. Microprocess. Microsystems 12(9): 490-496 (1988) - [c1]Violet F. Leavers, Mark B. Sandler:
An Efficient Radon Transform. Pattern Recognition 1988: 380-389
Coauthor Index
[c155] [c151] [c149] [i26] [c145] [i25] [i23] [c134] [c132] [j47] [c127] [c126] [c118] [c111] [c110] [c109] [c108] [i16] [i15] [i13] [i12] [j45] [c105] [c99] [c98] [c96] [c95] [c94] [c93] [c92] [c91] [c89] [i10] [i9] [i7] [i6] [i5] [i4] [c88] [c87] [i1] [c82] [c81] [c77] [c76] [j41] [c75] [c74] [c73] [c72] [c71] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c59] [c58] [c57] [c52] [c48]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-07-11 22:31 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
