Group Sparse Non-negative Matrix Factorization for Multi-Manifold Learning

Procedings of the British Machine Vision Conference 2011 ◽

10.5244/c.25.56 ◽

2011 ◽

Cited By ~ 4

Author(s):

Xiangyang Liu ◽

Hongtao Lu ◽

Hua Gu

Keyword(s):

Manifold Learning ◽

Matrix Factorization ◽

Non Negative Matrix Factorization

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Clustering Multi-View Data Using Non-negative Matrix Factorization and Manifold Learning for Effective Understanding: A Survey Paper

Unsupervised and Semi-Supervised Learning - Linking and Mining Heterogeneous and Multi-view Data ◽

10.1007/978-3-030-01872-6_9 ◽

2018 ◽

pp. 201-227 ◽

Cited By ~ 1

Author(s):

Khanh Luong ◽

Richi Nayak

Keyword(s):

Manifold Learning ◽

Matrix Factorization ◽

Survey Paper ◽

Non Negative Matrix Factorization

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Clustering Algorithm for Unsupervised Monaural Musical Sound Separation Based on Non-negative Matrix Factorization

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e95.a.818 ◽

2012 ◽

Vol E95-A (4) ◽

pp. 818-823 ◽

Cited By ~ 2

Author(s):

Sang Ha PARK ◽

Seokjin LEE ◽

Koeng-Mo SUNG

Keyword(s):

Matrix Factorization ◽

Clustering Algorithm ◽

Musical Sound ◽

Sound Separation ◽

Non Negative Matrix Factorization

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Faculty Opinions recommendation of Categorical dimensions of human odor descriptor space revealed by non-negative matrix factorization.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.718116445.793486463 ◽

2013 ◽

Author(s):

Ramón Serrano

Keyword(s):

Matrix Factorization ◽

Descriptor Space ◽

Human Odor ◽

Non Negative Matrix Factorization

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Adaptive background modeling via incremental non-negative matrix factorization

JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING ◽

10.3724/sp.j.1249.2016.05511 ◽

2016 ◽

Vol 33 (5) ◽

pp. 511

Author(s):

Huaiqin Dong ◽

Binbin Pan ◽

Wensheng Chen ◽

Chen Xu

Keyword(s):

Matrix Factorization ◽

Background Modeling ◽

Non Negative Matrix Factorization

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Convex Hull Convolutive Non-Negative Matrix Factorization for Uncovering Temporal Patterns in Multivariate Time-Series Data

10.21437/interspeech.2016-571 ◽

2016 ◽

Cited By ~ 5

Author(s):

Colin Vaz ◽

Asterios Toutios ◽

Shrikanth S. Narayanan

Keyword(s):

Time Series ◽

Convex Hull ◽

Matrix Factorization ◽

Time Series Data ◽

Multivariate Time Series ◽

Temporal Patterns ◽

Series Data ◽

Non Negative Matrix Factorization

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Non-Negative Matrix Factorization For Improving Passive Sonar Signal Detection

10.21528/cbic2011-17.5 ◽

2016 ◽

Author(s):

N. N. de Moura ◽

Igor Paladino ◽

J. M. de Seixas

Keyword(s):

Signal Detection ◽

Matrix Factorization ◽

Passive Sonar ◽

Non Negative Matrix Factorization

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Analysis of compatibility of dyes in mixtures by means of non‐negative matrix factorization

Color Research & Application ◽

10.1002/col.22660 ◽

2021 ◽

Author(s):

Fatemeh Charmi ◽

Seyed Hossein Amirshahi

Keyword(s):

Matrix Factorization ◽

Non Negative Matrix Factorization

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Total Variation Constrained Graph-Regularized Convex Non-negative Matrix Factorization for Data Representation

IEEE Signal Processing Letters ◽

10.1109/lsp.2020.3047576 ◽

2020 ◽

pp. 1-1

Author(s):

Miao Tian ◽

Chengcai Leng ◽

Haonan Wu ◽

Anup Basu

Keyword(s):

Total Variation ◽

Matrix Factorization ◽

Data Representation ◽

Non Negative Matrix Factorization

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A Mathematical Comparison of Non‐negative Matrix Factorization‐Related Methods with Practical Implications for the Analysis of Mass Spectrometry Imaging Data

Rapid Communications in Mass Spectrometry ◽

10.1002/rcm.9181 ◽

2021 ◽

Author(s):

Melanie Nijs ◽

Tina Smets ◽

Etienne Waelkens ◽

Bart De Moor

Keyword(s):

Mass Spectrometry ◽

Matrix Factorization ◽

Mass Spectrometry Imaging ◽

Imaging Data ◽

Practical Implications ◽

Non Negative Matrix Factorization

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Non-negative matrix factorization of simulated high density surface electromyograms reflects both muscle excitation and muscle shortening

IEEE Access ◽

10.1109/access.2021.3078644 ◽

2021 ◽

pp. 1-1

Author(s):

M. Savc ◽

A. Holobar

Keyword(s):

Matrix Factorization ◽

High Density ◽

Muscle Shortening ◽

Density Surface ◽

Surface Electromyograms ◽

Non Negative Matrix Factorization

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