TY - GEN
T1 - Handwritten digit classification based on Alpha-Beta Associative Model
AU - López-Leyva, Luis Octavio
AU - Yáñez-Márquez, Cornelio
AU - Flores-Carapia, Rolando
AU - Camacho-Nieto, Oscar
PY - 2008
Y1 - 2008
N2 - In this paper we present a new model appropriate for pattern recognition tasks. This new model, called αβ Associative Model, arises when taking theoretical elements from the αβ associative memories, and they are merged with several new mathematical transforms. When applied to handwritten digits recognition, namely in the MNIST database, the αβ Associative Model exhibits competitive results against some of the most widely known algorithms currently available in scientific literature.
AB - In this paper we present a new model appropriate for pattern recognition tasks. This new model, called αβ Associative Model, arises when taking theoretical elements from the αβ associative memories, and they are merged with several new mathematical transforms. When applied to handwritten digits recognition, namely in the MNIST database, the αβ Associative Model exhibits competitive results against some of the most widely known algorithms currently available in scientific literature.
KW - Alpha-Beta associative model
KW - Handwritten digits classification
KW - MNIST database
UR - http://www.scopus.com/inward/record.url?scp=55349142529&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-85920-8_54
DO - 10.1007/978-3-540-85920-8_54
M3 - Contribución a la conferencia
SN - 3540859195
SN - 9783540859192
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 437
EP - 444
BT - Progress in Pattern Recognition, Image Analysis and Applications - 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, Proceedings
T2 - 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008
Y2 - 9 September 2008 through 12 September 2008
ER -