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ISCAS
1994
IEEE
15 years 2 months ago
1994
IEEE
In this paper, we propose a new approach of solving the stereopsis problem with a discrete-time cellular neural network(DTCNN) where each node has connectionsonly with its local n...
CLOR
2006
15 years 1 months ago
2006
Appropriate datasets are required at all stages of object recognition research, including learning visual models of object and scene categories, detecting and localizing instances ...
FSKD
2006
Springer
15 years 1 months ago
2006
Springer
Nearest neighbor classifier is a widely-used effective method for multi-class problems. However, it suffers from the problem of the curse of dimensionality in high dimensional spac...
KDD
1995
ACM
15 years 1 months ago
1995
ACM
The Bayesianclassifier is a simple approachto classification that producesresults that are easy for people to interpret. In many cases, the Bayesianclassifieris at leastasaccurate...
ACIIDS
2010
IEEE
15 years 16 days ago
2010
IEEE
Abstract. A genetic algorithm is used to learn a non-deterministic Petri netbased model of non-linear gene interactions, or statistical epistasis. Petri nets are computational mode...