Biologically motivated trainable selective attention model using adaptive resonance theory network

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3141, Issue , 2004, Pages 456-471

  Choi, Sang Bok ^a   Ban, Sang Woo ^a   Lee, Minho ^a   Shin, Jang Kyoo ^a   Seo, Dae Wha ^a   Yang, Hyun Seung ^b  

^a Kyungpook National University   (South Korea)

^b Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

ADAPTIVE RESONANCE THEORY NETWORKS; BOTTOM-UP SALIENCIES; HUMAN SUPERVISORS; NATURAL SCENES; SALIENT REGIONS; SELECTIVE ATTENTION MODEL; SYMMETRY FEATURES; VISUAL SEARCH;

ARTS COMPUTING;

EID: 34047252455     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-27835-1_33     Document Type: Article

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