643 search results - page 38 / 129 » Support Vector Machines for 3D Object Recognition |
125
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AR
2007
15 years 27 days ago
2007
In robotics, recognition of human activity has been used extensively for robot task learning through imitation and demonstration. However, there has not been much work on modeling...
112
Voted
NN
2008
Springer
15 years 22 days ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
125
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CVPR
2005
IEEE
15 years 6 months ago
2005
IEEE
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Mac...
114
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IJCAI
2007
15 years 2 months ago
2007
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
106
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IJCNN
2008
IEEE
15 years 7 months ago
2008
IEEE
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...