Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn 2015-January, Issue January, 2014, Pages 40-49

  Cao, Bokai ^a   He, Lifang ^a,c   Kong, Xiangnan ^b   Yu, Philip S ^a   Hao, Zhifeng ^c   Ragin, Ann B ^d  

^a University of Illinois at Chicago   (United States)

^b Worcester Polytechnic Institute   (United States)

^c GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

^d NORTHWESTERN UNIVERSITY   (United States)

Author keywords

brain diseases; feature selection; multi view learning; tensor

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; DATA MINING; MEDICAL IMAGING; SUPPORT VECTOR MACHINES; TENSORS; VECTOR SPACES;

BRAIN DISEASE; CLASSIFICATION PERFORMANCE; DISEASE DIAGNOSIS; LEARNING PROCESS; MEDICAL SCIENCE; MULTI-VIEW LEARNING; NEUROLOGICAL DISORDERS; SUPPORT VECTOR MACHINE RECURSIVE FEATURE ELIMINATIONS;

FEATURE EXTRACTION;

EID: 84936940691     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2014.26     Document Type: Conference Paper

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