Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning

IEEE Transactions on Cybernetics

Volumn 46, Issue 10, 2016, Pages 2335-2347

  Qiao, Hong ^a   Li, Yinlin ^a   Li, Fengfu ^b   Xi, Xuanyang ^a   Wu, Wei ^a  

^a INSTITUTE OF AUTOMATION   (China)

^b INSTITUTE OF APPLIED MATHEMATICS   (China)

Author keywords

Biologically inspired; hierarchical model; key components learning; semantic description

Indexed keywords

BIOLOGICAL MECHANISMS; BIOLOGICALLY INSPIRED; BIOLOGICALLY INSPIRED MODELS; COMPUTATIONAL MODEL; DEEP NEURAL NETWORKS; LEARNING ABILITIES; RECOGNITION PROCESS; SEMANTIC DESCRIPTIONS;

SEMANTICS;

ALGORITHM; ANATOMY AND HISTOLOGY; BIOLOGICAL MODEL; BIOMETRY; FACE; HUMAN; IMAGE PROCESSING; MACHINE LEARNING; PHYSIOLOGY; PROCEDURES; SEMANTICS; VISION;

ALGORITHMS; BIOMETRIC IDENTIFICATION; FACE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACHINE LEARNING; MODELS, BIOLOGICAL; SEMANTICS; VISUAL PERCEPTION;

EID: 84941891886     PISSN: 21682267     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCYB.2015.2476706     Document Type: Article

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