Transforming fundamental set of patterns to a canonical form to improve pattern recall

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3315, Issue , 2004, Pages 687-696

  Sossa, Humberto ^a   Barrón, Ricardo ^a   Vázquez, Roberto A ^a  

^a INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

DATA STORAGE EQUIPMENT; IMAGE PROCESSING; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA; SET THEORY; SPURIOUS SIGNAL NOISE; THEOREM PROVING; VECTORS; ASSOCIATIVE PROCESSING;

ASSOCIATIVE MEMORIES; FUNDAMENTAL SET OF ASSOCIATIONS; FUNDAMENTAL SET OF PATTERNS (FSP0; OUTPUT VECTORS; ASSOCIATIVE MEMORY; CANONICAL FORM; PATTERN RECALL; REAL EXAMPLE;

PATTERN RECOGNITION; ARTIFICIAL INTELLIGENCE;

EID: 22944434541     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30498-2_69     Document Type: Conference Paper

References (11)

1. K. Steinbuch, Die Lernmatrix, Kybernetik, 1(1):26-45, 1961.
2. D. Wilshaw et al. Non-holographic associative memory, Nature 222:960-962, 1969.
3. J. A. Anderson, A simple neural network generating an interactive memory, Mathematical Biosciences, 14:197-220, 1972.
4. T. Kohonen, Correlation matrix memories, IEEE Transactions on Computers, 21(4):353-359, 1972.
5. J. J. Hopfield, Neural networks and physical systems with emergent collective computational abilities, Proceedings of the National Academy of Sciences, 79: 2554-2558, 1982.
6. G. X. Ritter el al. Morphological associative memories, IEEE Transactions on Neural Networks, 9:281-293, 1998.
7. C. Yáñez, Associative Memories based on Order Relations and Binary Operators (In Spanish), PhD Thesis, Center for Computing Research, February of 2002.
8. H. Sossa and Ricardo Barrón. New associative model for pattern recall in the presence of mixed noise, LASTED Fifth International Conference on Signal and Image Processing (SIP 2003), August 13-15, 2003, Honolulu, Hawaii, USA.
9. N. Otsu, A threshold selection method from gray-level histograms, IEEE Transactions on SMC, 9(1): 62-66, 1979.
10. R. Jain et al. Machine Vision, McGraw-Hill, 1995.
11. M. K. Hu, Visual pattern recognition by moment invariants, IRE Transactions on Information Theory, 8: 179-187, 1962.