Spectral Learning on Matrices and Tensors

Majid Janzamin; Rong Ge; Jean Kossaifi; Anima Anandkumar

doi:10.1561/2200000057

Spectral Learning on Matrices and Tensors

Foundations and Trends® in Machine Learning ◽

10.1561/2200000057 ◽

2019 ◽

Vol 12 (5-6) ◽

pp. 393-536 ◽

Cited By ~ 1

Author(s):

Majid Janzamin ◽

Rong Ge ◽

Jean Kossaifi ◽

Anima Anandkumar

Keyword(s):

Spectral Learning

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Self-spectral learning with GAN based spectral-spatial target detection for hyperspectral image

Neural Networks ◽

10.1016/j.neunet.2021.05.029 ◽

2021 ◽

Author(s):

Weiying Xie ◽

Jiaqing Zhang ◽

Jie Lei ◽

Yunsong Li ◽

Xiuping Jia

Keyword(s):

Target Detection ◽

Hyperspectral Image ◽

Spectral Learning

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Basis selection in spectral learning of predictive state representations

Neurocomputing ◽

10.1016/j.neucom.2018.04.079 ◽

2018 ◽

Vol 310 ◽

pp. 183-189 ◽

Cited By ~ 1

Author(s):

Chunqing Huang ◽

Yisheng An ◽

Sun Zhou ◽

Zhezheng Hong ◽

Yunlong Liu

Keyword(s):

Spectral Learning ◽

Predictive State Representations

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Support, Relevance and Spectral Learning for Time Series

Adaptive and Natural Computing Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-540-71629-7_23 ◽

2007 ◽

pp. 199-207

Author(s):

Bernardete Ribeiro

Keyword(s):

Time Series ◽

Spectral Learning

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Non-Negative Spectral Learning and Sparse Regression-Based Dual-Graph Regularized Feature Selection

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2017.2657007 ◽

2018 ◽

Vol 48 (2) ◽

pp. 793-806 ◽

Cited By ~ 33

Author(s):

Ronghua Shang ◽

Wenbing Wang ◽

Rustam Stolkin ◽

Licheng Jiao

Keyword(s):

Feature Selection ◽

Dual Graph ◽

Sparse Regression ◽

Spectral Learning

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Robust Spectral Learning for Unsupervised Feature Selection

2014 IEEE International Conference on Data Mining ◽

10.1109/icdm.2014.58 ◽

2014 ◽

Cited By ~ 43

Author(s):

Lei Shi ◽

Liang Du ◽

Yi-Dong Shen

Keyword(s):

Feature Selection ◽

Unsupervised Feature Selection ◽

Spectral Learning

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Switching Divergences for Spectral Learning in Blind Speech Dereverberation

IEEE/ACM Transactions on Audio Speech and Language Processing ◽

10.1109/taslp.2019.2901643 ◽

2019 ◽

Vol 27 (5) ◽

pp. 881-891

Author(s):

Francisco Javier Ibarrola ◽

Ruben Daniel Spies ◽

Leandro Ezequiel Di Persia

Keyword(s):

Speech Dereverberation ◽

Spectral Learning

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Discriminative Reconstruction for Hyperspectral Anomaly Detection With Spectral Learning

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2020.2982406 ◽

2020 ◽

Vol 58 (10) ◽

pp. 7406-7417

Author(s):

Jie Lei ◽

Shuo Fang ◽

Weiying Xie ◽

Yunsong Li ◽

Chein-I Chang

Keyword(s):

Anomaly Detection ◽

Spectral Learning

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Probabilistic sequence clustering with spectral learning

Digital Signal Processing ◽

10.1016/j.dsp.2014.02.014 ◽

2014 ◽

Vol 29 ◽

pp. 1-19 ◽

Cited By ~ 7

Author(s):

Y. Cem Sübakan ◽

Barış Kurt ◽

A. Taylan Cemgil ◽

Bülent Sankur

Keyword(s):

Sequence Clustering ◽

Spectral Learning

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Scalable Semi-supervised kernel spectral learning using random Fourier features

2016 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci.2016.7849934 ◽

2016 ◽

Cited By ~ 2

Author(s):

Siamak Mehrkanoon ◽

Johan A.K. Suykens

Keyword(s):

Spectral Learning ◽

Random Fourier Features

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Evaluation of Spectral Learning for the Identification of Hidden Markov Models

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2015.12.244 ◽

2015 ◽

Vol 48 (28) ◽

pp. 897-902 ◽

Cited By ~ 1

Author(s):

Robert Mattila ◽

Cristian R. Rojas ◽

Bo Wahlberg

Keyword(s):

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Spectral Learning

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