783 search results - page 20 / 157 » Modeling High-Dimensional Index Structures using Sampling |
101
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...
141
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CORR
2012
Springer
13 years 9 months ago
2012
Springer
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
128
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CVPR
2001
IEEE
16 years 3 months ago
2001
IEEE
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...
106
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IROS
2009
IEEE
15 years 8 months ago
2009
IEEE
— In this paper we present a new approach for labeling 3D points with different geometric surface primitives using a novel feature descriptor – the Fast Point Feature Histogram...
146
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ICMCS
2008
IEEE
15 years 7 months ago
2008
IEEE
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...