Sciweavers

186 search results - page 36 / 38
» Sparse Kernel Regressors
Sort
View
ICML
2004
IEEE
14 years 8 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...
ICCV
1999
IEEE
13 years 11 months ago
Epipolar Geometry Estimation by Tensor Voting in 8D
We present a novel, efficient, initializationfree approach to the problem of epipolar geometry estimation, by formulating it as one of hyperplane inference from a sparse and noisy...
Chi-Keung Tang, Gérard G. Medioni, Mi-Suen ...
JMLR
2011
148views more  JMLR 2011»
13 years 2 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
IPPS
2008
IEEE
14 years 1 months ago
SNAP, Small-world Network Analysis and Partitioning: An open-source parallel graph framework for the exploration of large-scale
We present SNAP (Small-world Network Analysis and Partitioning), an open-source graph framework for exploratory study and partitioning of large-scale networks. To illustrate the c...
David A. Bader, Kamesh Madduri
CF
2006
ACM
13 years 11 months ago
The potential of the cell processor for scientific computing
The slowing pace of commodity microprocessor performance improvements combined with ever-increasing chip power demands has become of utmost concern to computational scientists. As...
Samuel Williams, John Shalf, Leonid Oliker, Shoaib...