6113 search results - page 345 / 1223 » Learning Features for Tracking |
145
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ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
In this paper, we propose a scheme to improve the performance of subspace learning by using a pattern(data) selection method as preprocessing. Generally, a training set for subspa...
226
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ESANN
2006
15 years 8 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
153
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ETS
2007
IEEE
16 years 1 months ago
2007
IEEE
— A novel statistical learning algorithm is proposed to accurately analyze volume diagnosis results. This algorithm effectively overcomes the inherent ambiguities in logic diagno...
176
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ICC
2007
IEEE
16 years 1 months ago
2007
IEEE
—In this paper, a new sorting initial codebook algorithm for learning vector quantization (LVQ) based upon selforganizing feature maps (SOM) has been proposed. The basic idea is ...
150
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AI
2004
Springer
16 years 2 days ago
2004
Springer
The fitness function of an evolutionary algorithm is one of the few possible spots where application knowledge can be made available to the algorithm. But the representation and u...