394 search results - page 29 / 79 » On Feature Extraction via Kernels |
127
Voted
CVPR
2010
IEEE
15 years 1 months ago
2010
IEEE
We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual...
129
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SIGDIAL
2010
15 years 1 months ago
2010
We use automatically extracted acoustic features to detect speech which is generated under stress, achieving 76.24% accuracy with a binary logistic regression. Our data are task-o...
121
Voted
CAIP
2007
Springer
15 years 9 months ago
2007
Springer
We propose a dominant-feature based matching method for capturing a target in a video sequence through the dynamic decomposition of the target template. The target template is segm...
160
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SSPR
2004
Springer
15 years 8 months ago
2004
Springer
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
139
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AAAI
2011
14 years 3 months ago
2011
Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critica...