TY - GEN
T1 - Geometric associative processing applied to pattern classification
AU - Cruz, Benjamín
AU - Sossa, Humberto
AU - Barrón, Ricardo
PY - 2009
Y1 - 2009
N2 - Associative memories (AM's) have been extensively used during the last 40 years for pattern classification and pattern restoration. In this paper Conformal Geometric Algebra (CGA) is used to develop a new associative memory (AM). The proposed AM makes use of CGA and quadratic programming to store associations among patterns and their respective classes. An unknown pattern is classified by applying an inner product between the pattern and the build AM. Numerical and real examples are presented to show the potential of the proposal.
AB - Associative memories (AM's) have been extensively used during the last 40 years for pattern classification and pattern restoration. In this paper Conformal Geometric Algebra (CGA) is used to develop a new associative memory (AM). The proposed AM makes use of CGA and quadratic programming to store associations among patterns and their respective classes. An unknown pattern is classified by applying an inner product between the pattern and the build AM. Numerical and real examples are presented to show the potential of the proposal.
UR - http://www.scopus.com/inward/record.url?scp=69849088231&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-01510-6_111
DO - 10.1007/978-3-642-01510-6_111
M3 - Contribución a la conferencia
SN - 3642015093
SN - 9783642015090
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 977
EP - 985
BT - Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings
T2 - 6th International Symposium on Neural Networks, ISNN 2009
Y2 - 26 May 2009 through 29 May 2009
ER -