1915 search results - page 8 / 383 » Computing LTS Regression for Large Data Sets |
141
Voted
ICCV
2011
IEEE
14 years 3 months ago
2011
IEEE
In this paper we propose a framework for learning a regression function form a set of local features in an image. The regression is learned from an embedded representation that re...
158
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ISVC
2009
Springer
15 years 10 months ago
2009
Springer
In this paper, we propose an inherent parallel scheme for 3D image segmentation of large volume data on a GPU cluster. This method originates from an extended Lattice Boltzmann Mod...
153
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TNN
2010
14 years 10 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
131
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CSDA
2007
15 years 3 months ago
2007
In this paper we address the problem of selecting variables or features in a regression model in the presence of both additive (vertical) and leverage outliers. Since variable sel...
148
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CIKM
2007
Springer
15 years 9 months ago
2007
Springer
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from...