3 search results - page 1 / 1 » Scaling up Kernel SVM on Limited Resources: A Low-rank Linea... |
JMLR
2012
11 years 7 months ago
2012
GFKL
2007
Springer
13 years 8 months ago
2007
Springer
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
IJCAI
2007
13 years 6 months ago
2007
In recent years, metric learning in the semisupervised setting has aroused a lot of research interests. One type of semi-supervised metric learning utilizes supervisory informatio...