19 search results - page 1 / 4 » Approximating a Gram Matrix for Improved Kernel-Based Learni... |
COLT
2005
Springer
13 years 10 months ago
2005
Springer
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...
COLT
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. The Gram matrix plays a central role in many kernel methods. Knowledge about the distribution of eigenvalues of the Gram matrix is useful for developing appropriate model...
ECCV
2008
Springer
14 years 6 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 ...
PR
2007
13 years 4 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...