A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf
.
Domain Transfer SVM for video concept detection
2009
2009 IEEE Conference on Computer Vision and Pattern Recognition
Cross-domain learning methods have shown promising results by leveraging labeled patterns from auxiliary domains to learn a robust classifier for target domain, which has a limited number of labeled samples. To cope with the tremendous change of feature distribution between different domains in video concept detection, we propose a new cross-domain kernel learning method. Our method, referred to as Domain Transfer SVM (DTSVM), simultaneously learns a kernel function and a robust SVM classifier
doi:10.1109/cvprw.2009.5206747
fatcat:4af3gq6rgnfwdoh3ajjopbyqba