Tensor object classification via multilinear discriminant analysis network

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2015-August, Issue , 2015, Pages 1971-1975

  Zeng, Rui ^a,d   Wu, Jiasong ^a,b,c,d   Senhadji, Lotfi ^b,c,d   Shu, Huazhong ^a,d  

^a SOUTHEAST UNIVERSITY   (China)

^b UNIVERSITÉ DE RENNES 1   (France)

^c UNIVERSITÉ DE RENNES 1   (France)

^d Centre de Recherche en Information Biomedicale Sino franais (CRIDs)   (France)

Author keywords

Deep learning; LDANet; MLDANet; PCANet; tensor object classification

Indexed keywords

AUDIO SIGNAL PROCESSING; DEEP LEARNING; DISCRIMINANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SPEECH COMMUNICATION; TENSORS;

FEATURE POOLING; LDANET; LINEAR DISCRIMINANT ANALYSIS; MLDANET; MULTIDIMENSIONAL OBJECTS; PCANET; TENSOR OBJECTS;

LEARNING ALGORITHMS;

EID: 84946073395     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2015.7178315     Document Type: Conference Paper

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