1334 search results - page 104 / 267 » Composite kernel learning |
190
Voted
CVPR
2012
IEEE
13 years 5 months ago
2012
IEEE
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
139
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AAAI
2011
14 years 3 months ago
2011
Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critica...
141
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RTSS
2008
IEEE
15 years 9 months ago
2008
IEEE
This paper presents the design of user-level scheduling hierarchies in the Composite component-based system. The motivation for this is centered around the design of a system that...
155
Voted
IJCNN
2007
IEEE
15 years 9 months ago
2007
IEEE
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
149
Voted
ICIP
2010
IEEE
15 years 1 months ago
2010
IEEE
This paper proposes a new texture classification approach. There are two main contributions in the proposed method. First, input texture images are transformed to the composite Fo...