371 search results - page 33 / 75 » Competitive Neural Network Training: A Multi-Resolution Appr... |
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
Approaches based on local features and descriptors are increasingly used for the task of object recognition due to their robustness with regard to occlusions and geometrical defor...
102
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IEEEICCI
2002
IEEE
15 years 2 months ago
2002
IEEE
We present a model of creating a hierarchical set of rules that encode generalizations and exceptions derived from induction learning. The rules use the input features directly an...
FLAIRS
2004
14 years 11 months ago
2004
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
KES
1998
Springer
15 years 1 months ago
1998
Springer
Robotic controllers take advantage from neural network learning capabilities as long as the dimensionality of the problem is kept moderate. This paper explores the possibilities of...
106
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IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...