Unsupervised visual learning of three-dimensional objects using a modular network architecture

Neural Networks

Volumn 12, Issue 7-8, 1999, Pages 1037-1051

  Ando, H ^a   Suzuki, S ^a,b   Fujita, T ^a,c  

^a ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

^b Nippon Telegraph and Telephone Corporation   (Japan)

^c SONY CORPORATION   (Japan)

Author keywords

Clustering; Mixture of autoencoders; Modular networks; Multiple views; Three dimensional object recognition; Unsupervised learning

Indexed keywords

BRAIN; COMPUTER SIMULATION; IMAGE CODING; LEARNING ALGORITHMS; LEARNING SYSTEMS; MAXIMUM LIKELIHOOD ESTIMATION; OBJECT RECOGNITION; THREE DIMENSIONAL;

AUTOENCODERS; CLUSTERING; MODULAR NETWORKS; THREE DIMENSIONAL OBJECT RECOGNITION; UNSUPERVISED LEARNING;

NEURAL NETWORKS;

ASSAY; COMPUTER; HUMAN; LEARNING; MODEL; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; RECOGNITION; REVIEW; TRAINING;

EID: 0033213812     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(99)00052-0     Document Type: Article

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