783 search results - page 20 / 157 » Modeling High-Dimensional Index Structures using Sampling |
124
Voted
ICML
2009
IEEE
16 years 4 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...
165
Voted
CORR
2012
Springer
13 years 11 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...
152
Voted
CVPR
2001
IEEE
16 years 5 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...
124
Voted
IROS
2009
IEEE
15 years 10 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...
161
Voted
ICMCS
2008
IEEE
15 years 10 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...