436 search results - page 7 / 88 » Performance Optimization and Modeling of Blocked Sparse Kern... |
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
In this work we present a new string similarity feature, the sparse spatial sample (SSS). An SSS is a set of short substrings at specific spatial displacements contained in the or...
IDEAL
2004
Springer
14 years 26 days ago
2004
Springer
Abstract— The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model gener...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
This paper proposes a novel approach for directly tuning the gaussian kernel matrix for one class learning. The popular gaussian kernel includes a free parameter, σ, that requires...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
CVPR
2010
IEEE
13 years 5 months ago
2010
IEEE
We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual...