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Gal Mishne
Gal Mishne
Assistant Professor, UC San Diego
Bestätigte E-Mail-Adresse bei ucsd.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Multiscale anomaly detection using diffusion maps
G Mishne, I Cohen
IEEE Journal of selected topics in signal processing 7 (1), 111-123, 2012
582012
Graph-based supervised automatic target detection
G Mishne, R Talmon, I Cohen
IEEE Transactions on Geoscience and Remote Sensing 53 (5), 2738-2754, 2014
402014
Diffusion Nets
G Mishne, U Shaham, A Cloninger, I Cohen
Applied and Computational Harmonic Analysis, 2017
382017
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
382016
Data-Driven Tree Transforms and Metrics
G Mishne, R Talmon, I Cohen, RR Coifman, Y Kluger
IEEE Transactions on Signal and Information Processing over Networks, 2017
202017
Visualizing the PHATE of Neural Networks
S Gigante, AS Charles, S Krishnaswamy, G Mishne
Advances in Neural Information Processing Systems, 1842-1853, 2019
172019
Online adversarial purification based on self-supervised learning
C Shi, C Holtz, G Mishne
International Conference on Learning Representations, 2021
15*2021
Randomized near-neighbor graphs, giant components and applications in data science
A Jaffe, Y Kluger, GC Linderman, G Mishne, S Steinerberger
Journal of Applied Probability 57 (2), 458-476, 2020
142020
Co-manifold learning with missing data
G Mishne, EC Chi, RR Coifman
36th International Conference on Machine Learning 97, 4605--4614, 2019
132019
Automated cellular structure extraction in biological images with applications to calcium imaging data
G Mishne, RR Coifman, M Lavzin, J Schiller
bioRxiv, 313981, 2018
13*2018
Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian
X Cheng, G Mishne
SIAM Journal on Imaging Sciences 13 (2), 1015-1048, 2020
122020
Multiscale anomaly detection using diffusion maps and saliency score
G Mishne, I Cohen
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
112014
Nonlinear manifold learning in functional magnetic resonance imaging uncovers a low-dimensional space of brain dynamics.
S Gao, G Mishne, D Scheinost
Human brain mapping, 2021
10*2021
The geometry of nodal sets and outlier detection
X Cheng, G Mishne, S Steinerberger
Journal of Number Theory 185, 48-64, 2018
92018
Multi-channel wafer defect detection using diffusion maps
G Mishne, I Cohen
2014 IEEE 28th Convention of Electrical & Electronics Engineers in Israel …, 2014
82014
LDLE: Low Distortion Local Eigenmaps
D Kohli, A Cloninger, G Mishne
Journal of Machine Learning Research 22, 1-64, 2021
62021
Learning spatially-correlated temporal dictionaries for calcium imaging
G Mishne, AS Charles
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
62019
Poincaré Embedding Reveals Edge-Based Functional Networks of the Brain
S Gao, G Mishne, D Scheinost
International Conference on Medical Image Computing and Computer-Assisted …, 2020
52020
Iterative diffusion-based anomaly detection
G Mishne, I Cohen
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
52017
Multiway graph signal processing on tensors: Integrative analysis of irregular geometries
JS Stanley, EC Chi, G Mishne
IEEE Signal Processing Magazine 37 (6), 160-173, 2020
42020
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