TY - GEN
T1 - Associative memories applied to pattern recognition
AU - Vazquez, Roberto A.
AU - Sossa, Humberto
PY - 2008
Y1 - 2008
N2 - An associative memory (AM) is a special kind of neural network that allows associating an output pattern with an input pattern. In the last years, several associative models have been proposed by different authors. However, they have several constraints which limit their applicability in complex pattern recognition problems. In this paper we gather different results provided by a dynamic associative model and present new results in order to describe how this model can be applied to solve different complex problems in pattern recognition such as object recognition, image restoration, occluded object recognition and voice recognition.
AB - An associative memory (AM) is a special kind of neural network that allows associating an output pattern with an input pattern. In the last years, several associative models have been proposed by different authors. However, they have several constraints which limit their applicability in complex pattern recognition problems. In this paper we gather different results provided by a dynamic associative model and present new results in order to describe how this model can be applied to solve different complex problems in pattern recognition such as object recognition, image restoration, occluded object recognition and voice recognition.
UR - http://www.scopus.com/inward/record.url?scp=51849096780&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-87559-8_12
DO - 10.1007/978-3-540-87559-8_12
M3 - Contribución a la conferencia
SN - 3540875581
SN - 9783540875581
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 111
EP - 120
BT - Artificial Neural Networks - ICANN 2008 - 18th International Conference, Proceedings
T2 - 18th International Conference on Artificial Neural Networks, ICANN 2008
Y2 - 3 September 2008 through 6 September 2008
ER -