1015 search results - page 61 / 203 » Kernels for Multi--task Learning |
JMLR
2012
11 years 10 months ago
2012
In recent years there has been a lot of interest in designing principled classification algorithms over multiple cues, based on the intuitive notion that using more features shou...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
This paper presents a novel alternative approach, namely weakly supervised learning (WSL), to learn the pre-image of a feature vector in the feature space induced by a kernel. It ...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
In this paper, we propose a novel nonparametric modeling technique, namely Space Kernel Analysis (SKA), as a result of the definition of the space kernel. We analyze the uncertai...
GCB
2009
Springer
13 years 11 months ago
2009
Springer
Abstract: Graphs are often used to describe and analyze the geometry and physicochemical composition of biomolecular structures, such as chemical compounds and protein active sites...
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CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Kernel descriptors provide a unified way to generate rich visual feature sets by turning pixel attributes into patch-level features, and yield impressive results on many object rec...