Publications

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Katz, Ori; Lederman, Roy R; Talmon, Ronen

Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing Technical Report

2020, (arXiv: 2009.08062).

Abstract | Links | BibTeX | Tags: Common variable, Computer Science - Machine Learning, Manifold Learning, Multi-view, multimodal, SPD Matrices, Statistics - Machine Learning

Shnitzer, Tal; Lederman, Roy R; Liu, Gi-Ren; Talmon, Ronen; Wu, Hau-Tieng

Diffusion operators for multimodal data analysis Incollection

Handbook of Numerical Analysis, 20 , pp. 1–39, Elsevier, 2019, ISBN: 978-0-444-64140-3.

Links | BibTeX | Tags: Alternating Diffusion, BookChapter, Common variable, diffusion maps, Manifold Learning, Multi-view, multimodal, Multimodal data, Sensor fusion, Shape differences

Lederman, Roy R; Talmon, Ronen

Learning the geometry of common latent variables using alternating-diffusion Journal Article

Applied and Computational Harmonic Analysis, 44 (3), pp. 509–536, 2018, ISSN: 1063-5203.

Abstract | Links | BibTeX | Tags: Algorithms, Alternating Diffusion, Alternating-diffusion, Common variable, diffusion maps, Diffusion-maps, Multi-view, multimodal, Multimodal analysis, test

Shaham, Uri; Lederman, Roy R

Learning by coincidence: Siamese networks and common variable learning Journal Article

Pattern Recognition, 74 , pp. 52–63, 2018, ISSN: 00313203.

Links | BibTeX | Tags: Common variable, Deep Learning, Multi-view, multimodal, Siamese networks

Shaham, Uri; Lederman, Roy R

Common Variable Learning and Invariant Representation Learning using Siamese Neural Networks Technical Report

2015.

Abstract | Links | BibTeX | Tags: Common variable, Deep Learning, Multi-view

Lederman, Roy R; Talmon, Ronen; Wu, Hau-tieng; Lo, Yu-Lun; Coifman, Ronald R

Alternating diffusion for common manifold learning with application to sleep stage assessment Inproceedings

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5758–5762, 2015, (ISSN: 2379-190X).

Abstract | Links | BibTeX | Tags: Alternating Diffusion, Common variable, diffusion maps, Kernel, learning (artificial intelligence), Manifolds, multimodal, multimodal respiratory signals, multimodal signal processing, Physiology, Sensitivity, Sensor phenomena and characterization, signal processing, sleep, sleep stage assessment, standard manifold learning method, time series