Adaptive structure learning for low-rank supervised feature selection

Pattern Recognition Letters ◽

10.1016/j.patrec.2017.08.018 ◽

2018 ◽

Vol 109 ◽

pp. 89-96 ◽

Author(s):

Yonghua Zhu ◽

Xuejun Zhang ◽

Rongyao Hu ◽

Guoqiu Wen

Keyword(s):

Feature Selection ◽

Structure Learning ◽

Low Rank ◽

Adaptive Structure

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Semi-supervised multi-label feature selection with adaptive structure learning and manifold learning

Knowledge-Based Systems ◽

10.1016/j.knosys.2021.106757 ◽

2021 ◽

pp. 106757

Author(s):

Sitao Lv ◽

Shengfei Shi ◽

Hongzhi Wang ◽

Feng Li

Keyword(s):

Feature Selection ◽

Manifold Learning ◽

Structure Learning ◽

Adaptive Structure

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Unsupervised feature selection via low-rank approximation and structure learning

Knowledge-Based Systems ◽

10.1016/j.knosys.2017.03.002 ◽

2017 ◽

Vol 124 ◽

pp. 70-79 ◽

Author(s):

Shiping Wang ◽

Han Wang

Keyword(s):

Feature Selection ◽

Structure Learning ◽

Low Rank ◽

Low Rank Approximation ◽

Unsupervised Feature Selection ◽

Rank Approximation

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Sparse Low-rank Constrained Adaptive Structure Learning using Multi-template for Autism Spectrum Disorder Diagnosis

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) ◽

10.1109/isbi.2019.8759487 ◽

2019 ◽

Author(s):

Fanglin Huang ◽

Ahmed Elazab ◽

Le OuYang ◽

Joseph Tan ◽

Tianfu Wang ◽

...

Keyword(s):

Autism Spectrum Disorder ◽

Structure Learning ◽

Autism Spectrum ◽

Spectrum Disorder ◽

Low Rank ◽

Autism Spectrum Disorder Diagnosis ◽

Adaptive Structure

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Subspace learning for unsupervised feature selection via adaptive structure learning and rank approximation

Neurocomputing ◽

10.1016/j.neucom.2020.06.111 ◽

2020 ◽

Vol 413 ◽

pp. 72-84

Author(s):

Ronghua Shang ◽

Kaiming Xu ◽

Licheng Jiao

Keyword(s):

Feature Selection ◽

Structure Learning ◽

Subspace Learning ◽

Unsupervised Feature Selection ◽

Adaptive Structure ◽

Rank Approximation

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Unsupervised Feature Selection with Adaptive Structure Learning

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15 ◽

10.1145/2783258.2783345 ◽

2015 ◽

Author(s):

Liang Du ◽

Yi-Dong Shen

Keyword(s):

Feature Selection ◽

Structure Learning ◽

Unsupervised Feature Selection ◽

Adaptive Structure

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Speech Emotion Recognition Using Feature Selection with Adaptive Structure Learning

2019 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS) ◽

10.1109/ises47678.2019.00059 ◽

2019 ◽

Author(s):

Akshay Rayaluru ◽

Surekha Reddy Bandela ◽

Kishore Kumar T

Keyword(s):

Feature Selection ◽

Emotion Recognition ◽

Structure Learning ◽

Speech Emotion Recognition ◽

Adaptive Structure

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Sparse Low-Rank and Graph Structure Learning for Supervised Feature Selection

Neural Processing Letters ◽

10.1007/s11063-020-10250-7 ◽

2020 ◽

Vol 52 (3) ◽

pp. 1793-1809

Author(s):

Guoqiu Wen ◽

Yonghua Zhu ◽

Mengmeng Zhan ◽

Malong Tan

Keyword(s):

Feature Selection ◽

Structure Learning ◽

Low Rank ◽

Graph Structure ◽

Graph Structure Learning

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MRM-Lasso: A Sparse Multiview Feature Selection Method via Low-Rank Analysis

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2015.2396937 ◽

2015 ◽

Vol 26 (11) ◽

pp. 2801-2815 ◽

Author(s):

Wanqi Yang ◽

Yang Gao ◽

Yinghuan Shi ◽

Longbing Cao

Keyword(s):

Feature Selection ◽

Feature Selection Method ◽

Selection Method ◽

Low Rank ◽

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A convex multi-view low-rank sparse regression for feature selection and clustering

2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ◽

10.1109/bibm.2017.8217996 ◽

2017 ◽

Author(s):

Yao Lu ◽

Jin-Xing Liu ◽

Xiang-Zhen Kong ◽

Jun-Liang Shang

Keyword(s):

Feature Selection ◽

Low Rank ◽

Sparse Regression

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An Ideal Local Structure Learning for Unsupervised Feature Selection

Lecture Notes in Electrical Engineering - Communications, Signal Processing, and Systems ◽

10.1007/978-981-10-3229-5_83 ◽

2017 ◽

pp. 777-782

Author(s):

Yanbei Liu ◽

Kaihua Liu ◽

Deliang Liu

Keyword(s):

Feature Selection ◽

Local Structure ◽

Structure Learning ◽

Unsupervised Feature Selection ◽

Local Structure Learning

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