299 search results - page 28 / 60 » Multiple kernel learning and feature space denoising |
128
Voted
PR
2010
15 years 1 months ago
2010
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
157
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
122
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
115
Voted
CORR
2010
Springer
15 years 26 days ago
2010
Springer
In many applications involving multi-media data, the definition of similarity between items is integral to several key tasks, including nearest-neighbor retrieval, classification,...
102
Voted
NIPS
2007
15 years 4 months ago
2007
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...