Consensus and complementarity based maximum entropy discrimination for multi-view classification-Reference-Cited by-同舟云学术

Consensus and complementarity based maximum entropy discrimination for multi-view classification

Published:2016-11 Issue: Volume:367-368 Page:296-310
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Chao Guoqing^ORCID,Sun Shiliang

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference42 articles.

1. Combining labeled and unlabeled data with co-training;Blum,1998

2. Infinite Markov-switching maximum entropy discrimination machines;Chatzis,2013

3. Large-margin predictive latent subspace learning for multiview data analysis;Chen;IEEE Trans. Patt. Anal. Mach. Intell.,2012

4. Frustratingly easy domain adaptation;Daumé III,2007

5. Learning with augmented features for heterogeneous domain adaptation;Duan,2012

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