Constrained matrix factorization for semi-weakly learning with label proportions-Reference-Cited by-同舟云学术

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Constrained matrix factorization for semi-weakly learning with label proportions

Published:2019-07 Issue: Volume:91 Page:13-24
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Chen Zhensong,Shi Yong,Qi Zhiquan^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference35 articles.

1. Estimating labels from label proportions;Quadrianto;J. Mach. Learn. Res.,2009

2. Svm classifier estimation from group probabilities;Rueping,2010

3. Learning from label proportions by optimizing cluster model selection;Stolpe;Mach. Learn. Know. Discov. Database,2011

4. ∝ Svm for learning with label proportions;Yu;arXiv preprint,2013

5. Linear twin svm for learning from label proportions;Wang,2015

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2. Boost two-view learning-based method for label proportions problem;Applied Intelligence;2023-06-18

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4. Feature Nonlinear Transformation Non-Negative Matrix Factorization with Kullback-Leibler Divergence;Pattern Recognition;2022-12

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