436 search results - page 7 / 88 » Performance Optimization and Modeling of Blocked Sparse Kern... |
99
Voted
ICPR
2008
IEEE
16 years 4 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...
131
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IDEAL
2004
Springer
15 years 8 months 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...
124
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ICANN
2007
Springer
15 years 9 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...
143
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ICML
2006
IEEE
16 years 4 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...
127
Voted
CVPR
2010
IEEE
15 years 1 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...