Restoring partly occluded patterns: A neural network model with backward paths

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

Volumn 2714, Issue , 2003, Pages 393-400

  Fukushima, Kunihiko ^a  

^a TOKYO UNIVERSITY OF TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; RESTORATION; TEMPLATE MATCHING;

BOTTOM-UP AND TOP-DOWN; FEEDBACK SIGNAL; HIERARCHICAL NEURAL NETWORKS; LEARNED PATTERNS; MULTI-LAYERED; NEURAL NETWORK MODEL; TEMPLATE MATCHING METHOD; VISUAL INFORMATION;

NETWORK LAYERS;

EID: 35248875744     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44989-2_47     Document Type: Article

References (5)

1. K. Fukushima: "Recognition of partly occluded patterns: a neural network model", Biological Cybernetics, 84[4], pp. 251-259 (2001).
2. K. Fukushima: "Neocognitron: a hierarchical neural network capable of visual pattern recognition", Neural Networks, 1[2], pp. 119-130 (1988).
3. K. Fukushima: "Neural network model for selective attention in visual pattern recognition and associative recall", Applied Optics, 26[23], pp. 4985-4992 (Dec. 1987).
4. K. Fukushima: "Use of top-down signals for restoring partly occluded patterns", IJCNN'02, Honolulu, Hawaii, USA, pp. 17-22 (May 2002).
5. K. Fukushima: "Neocognitron for handwritten digit recognition", Neurocomputing, 51, pp. 161-180 (April 2003).