3837 search results - page 385 / 768 » Learning Approximate Consistencies |
170
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
The core vector machine (CVM) is a recent approach for scaling up kernel methods based on the notion of minimum enclosing ball (MEB). Though conceptually simple, an efficient impl...
188
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ICIAP
2001
Springer
16 years 7 months ago
2001
Springer
We present a method to track and recognize shape-changing hand gestures simultaneously. The switching linear model using active contour model well corresponds to temporal shapes a...
193
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IJCNN
2008
IEEE
16 years 1 months ago
2008
IEEE
— Spiking neural networks have been shown capable of simulating sigmoidal artificial neural networks providing promising evidence that they too are universal function approximat...
209
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COLT
1999
Springer
15 years 11 months ago
1999
Springer
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
176
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COLT
1999
Springer
15 years 11 months ago
1999
Springer
We consider the AdaBoost procedure for boosting weak learners. In AdaBoost, a key step is choosing a new distribution on the training examples based on the old distribution and th...