230 search results - page 11 / 46 » Smooth Optimization for Effective Multiple Kernel Learning |
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Kernel-based objective functions optimized using the mean shift algorithm have been demonstrated as an effective means of tracking in video sequences. The resulting algorithms com...
SDM
2009
SIAM
15 years 6 months ago
2009
SIAM
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...
74
Voted
IPPS
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper we explore the impact of the block shape on blocked and vectorized versions of the Sparse Matrix-Vector Multiplication (SpMV) kernel and build upon previous work by ...
93
Voted
JMLR
2008
14 years 9 months ago
2008
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...