DuSK: A dual structure-preserving kernel for supervised tensor learning with applications to neuroimages

SIAM International Conference on Data Mining 2014, SDM 2014

Volumn 1, Issue , 2014, Pages 127-135

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

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b University of Illinois at Chicago   (United States)

^c NORTHWESTERN UNIVERSITY   (United States)

^d GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA MINING; KNOWLEDGE MANAGEMENT; LEARNING SYSTEMS; MAPPING; NEURODEGENERATIVE DISEASES; VECTOR SPACES;

ALZHEIMER'S DISEASE; CLASSIFICATION PERFORMANCE; CONVENTIONAL METHODS; MACHINE LEARNING COMMUNITIES; SMALL SAMPLE SIZE; STRUCTURAL INFORMATION; STRUCTURE-PRESERVING; TENSOR STRUCTURES;

TENSORS;

EID: 84957891835     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611973440.15     Document Type: Conference Paper

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