Feature Selection for Face Detection
We present a new method to select features for a face detection system using Support Vector Machines (SVMs). In the first step we reduce the dimensionality of the input space by projecting the data into a subset of eigenvectors. The dimension of the subset is determined by a classification criterion...
Main Authors: | Serre, Thomas, Heisele, Bernd, Mukherjee, Sayan, Poggio, Tomaso |
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Language: | en_US |
Published: |
2004
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Online Access: | http://hdl.handle.net/1721.1/7232 |
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