545 search results - page 56 / 109 » Support Vector Regression Using Mahalanobis Kernels |
EMNLP
2009
13 years 6 months ago
2009
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
SIGIR
2005
ACM
14 years 2 months ago
2005
ACM
Support Vector Machines (SVMs) have been very successful in text classification. However, the intrinsic geometric structure of text data has been ignored by standard kernels commo...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...
CVPR
2009
IEEE
14 years 24 days ago
2009
IEEE
In this paper, we present a kernel-based approach to the clustering of diffusion tensors and fiber tracts. We propose to use a Mercer kernel over the tensor space where both spati...
ICCV
2011
IEEE
12 years 9 months ago
2011
IEEE
Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new r...