Maplets for correspondence-based object recognition

Neural Networks

Volumn 17, Issue 8-9, 2004, Pages 1311-1326

  Zhu, Junmei ^a,c   Von Der Malsburg, Christoph ^b  

^a Los Angeles CA USA ^*  (United States)

^b RUHR UNIVERSITY BOCHUM   (Germany)

^c UNIVERSITY OF MEMPHIS   (United States)

Author keywords

Correspondence; Dynamic link; Map formation; Maplet; Object recognition; Self organization

Indexed keywords

DYNAMIC LINKS; LOW-DIMENSIONAL REPRESENTATIONS; MAPLETS; MAPPING PARAMETERS;

CONVERGENCE OF NUMERICAL METHODS; DEFORMATION; PARAMETER ESTIMATION; PROBLEM SOLVING; SELF ORGANIZING MAPS; SOCIETIES AND INSTITUTIONS;

OBJECT RECOGNITION;

BRAIN MAPPING; CONFERENCE PAPER; EXPERIMENTAL MODEL; FACIAL EXPRESSION; HUMAN; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; INTERMETHOD COMPARISON; LEARNING; LINEAR SYSTEM; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; NERVE CELL NETWORK; NORMAL DISTRIBUTION; ORIENTATION; PARAMETER; PATTERN RECOGNITION; POSITION; PRIORITY JOURNAL; RATING SCALE; THEORETICAL MODEL; TIME; VISION;

ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN MAPPING; FACE; HUMANS; MODELS, NEUROLOGICAL; NEURONAL PLASTICITY; PATTERN RECOGNITION, VISUAL;

EID: 9144239465     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2004.06.010     Document Type: Conference Paper

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