Relative transfer function identification using convolutive transfer function approximation R Talmon, I Cohen, S Gannot Audio, Speech, and Language Processing, IEEE Transactions on 17 (4), 546-555, 2009 | 151 | 2009 |
Affective response to architecture–investigating human reaction to spaces with different geometry A Shemesh, R Talmon, O Karp, I Amir, M Bar, YJ Grobman Architectural Science Review 60 (2), 116-125, 2017 | 142 | 2017 |
Learning the geometry of common latent variables using alternating-diffusion RR Lederman, R Talmon Applied and Computational Harmonic Analysis 44 (3), 509-536, 2018 | 132* | 2018 |
Assess sleep stage by modern signal processing techniques H Wu, R Talmon, YL Lo IEEE Transactions on Biomedical Engineering 62 (4), 1159-1168, 2014 | 118 | 2014 |
Empirical intrinsic geometry for nonlinear modeling and time series filtering R Talmon, RR Coifman Proceedings of the National Academy of Sciences 110 (31), 12535-12540, 2013 | 107 | 2013 |
Convolutive transfer function generalized sidelobe canceler R Talmon, I Cohen, S Gannot Audio, Speech, and Language Processing, IEEE Transactions on 17 (7), 1420-1434, 2009 | 102 | 2009 |
Parsimonious representation of nonlinear dynamical systems through manifold learning: A chemotaxis case study CJ Dsilva, R Talmon, RR Coifman, IG Kevrekidis Applied and Computational Harmonic Analysis 44 (3), 759-773, 2018 | 99 | 2018 |
Parallel transport on the cone manifold of SPD matrices for domain adaptation O Yair, M Ben-Chen, R Talmon IEEE Transactions on Signal Processing 67 (7), 1797-1811, 2019 | 97 | 2019 |
Diffusion maps for signal processing: A deeper look at manifold-learning techniques based on kernels and graphs R Talmon, I Cohen, S Gannot, RR Coifman IEEE signal processing magazine 30 (4), 75-86, 2013 | 93 | 2013 |
Semi-supervised sound source localization based on manifold regularization B Laufer-Goldshtein, R Talmon, S Gannot IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (8), 1393 …, 2016 | 77 | 2016 |
Reconstruction of normal forms by learning informed observation geometries from data O Yair, R Talmon, RR Coifman, IG Kevrekidis Proceedings of the National Academy of Sciences 114 (38), E7865-E7874, 2017 | 66 | 2017 |
Manifold learning for latent variable inference in dynamical systems R Talmon, S Mallat, H Zaveri, RR Coifman IEEE Transactions on Signal Processing 63 (15), 3843-3856, 2015 | 64 | 2015 |
Data-driven reduction for a class of multiscale fast-slow stochastic dynamical systems CJ Dsilva, R Talmon, CW Gear, RR Coifman, IG Kevrekidis SIAM Journal on Applied Dynamical Systems 15 (3), 1327-1351, 2016 | 60 | 2016 |
Supervised source localization using diffusion kernels R Talmon, I Cohen, S Gannot 2011 IEEE Workshop on Applications of Signal Processing to Audio and …, 2011 | 58 | 2011 |
Cell-type-specific outcome representation in the primary motor cortex S Levy, M Lavzin, H Benisty, A Ghanayim, U Dubin, S Achvat, Z Brosh, ... Neuron 107 (5), 954-971. e9, 2020 | 57 | 2020 |
Audio-visual voice activity detection using diffusion maps D Dov, R Talmon, I Cohen IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (4), 732-745, 2015 | 57 | 2015 |
Parametrization of Linear Systems Using Diffusion Kernels R Talmon, D Kushnir, RR Coifman, I Cohen, S Gannot submitted to IEEE Trans. Signal Process, 2011 | 57 | 2011 |
Intrinsic modeling of stochastic dynamical systems using empirical geometry R Talmon, RR Coifman Applied and Computational Harmonic Analysis 39 (1), 138-160, 2015 | 52* | 2015 |
Hierarchical coupled-geometry analysis for neuronal structure and activity pattern discovery G Mishne, R Talmon, R Meir, J Schiller, M Lavzin, U Dubin, RR Coifman IEEE Journal of Selected Topics in Signal Processing 10 (7), 1238-1253, 2016 | 50 | 2016 |
Relative transfer function modeling for supervised source localization B Laufer, R Talmon, S Gannot 2013 IEEE Workshop on Applications of Signal Processing to Audio and …, 2013 | 50 | 2013 |