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Shay Deutsch
Shay Deutsch
UCLA
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Titel
Zitiert von
Zitiert von
Jahr
Adaptive compressed image sensing using dictionaries
A Averbuch, S Dekel, S Deutsch
SIAM Journal on Imaging Sciences 5 (1), 57-89, 2012
782012
Manifold denoising based on spectral graph wavelets
S Deutsch, A Ortega, G Medioni
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
522016
Zero shot learning via multi-scale manifold regularization
S Deutsch, S Kolouri, K Kim, Y Owechko, S Soatto
Proceedings of the IEEE conference on computer vision and pattern …, 2017
492017
Adaptive compressed image sensing based on wavelet modeling and direct sampling
S Deutsch, A Averbush, S Dekel
SAMPTA'09, General session, 2009
412009
Intersecting manifolds: detection, segmentation, and labeling
S Deutsch, GG Medioni
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
212015
Robust denoising of piece-wise smooth manifolds
S Deutsch, A Ortega, G Medioni
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
132018
Learning the geometric structure of manifolds with singularities using the tensor voting graph
S Deutsch, G Medioni
Journal of Mathematical Imaging and Vision 57, 402-422, 2017
122017
Unsupervised learning using the tensor voting graph
S Deutsch, G Medioni
Scale Space and Variational Methods in Computer Vision: 5th International …, 2015
122015
Interpretable network propagation with application to expanding the repertoire of human proteins that interact with SARS-CoV-2
JN Law, K Akers, N Tasnina, CMD Santina, S Deutsch, M Kshirsagar, ...
GigaScience 10 (12), giab082, 2021
72021
Zero shot learning with the isoperimetric loss
S Deutsch, A Bertozzi, S Soatto
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10704 …, 2020
62020
Graph-based manifold frequency analysis for denoising
S Deutsch, A Ortega, G Medioni
arXiv preprint arXiv:1611.09510, 2016
42016
Spectral embedding of graph networks
S Deutsch, S Soatto
arXiv preprint arXiv:2009.14441, 2020
22020
Finding structure in point cloud data with the robust isoperimetric loss
S Deutsch, I Masi, S Soatto
Scale Space and Variational Methods in Computer Vision: 7th International …, 2019
22019
MS-IMAP--A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning
S Deutsch, L Yelibi, AT Lin, AR Kannan
arXiv preprint arXiv:2406.02778, 2024
12024
Graph Spectral Embedding using the Geodesic Betweenness Centrality
S Deutsch, S Soatto
International Conference on Artificial Intelligence and Statistics, 10505-10519, 2023
2023
Zero-shot learning using multi-scale manifold alignment
S Deutsch, K Kim, Y Owechko
US Patent 10,592,788, 2020
2020
Learning the Geometric Structure of High Dimensional Data using the Tensor Voting Graph
S Deutsch
University of Southern California, 2016
2016
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