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ML
2002
ACM
127views Machine Learning» more  ML 2002»
15 years 6 months ago
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
We examine methods for constructing regression ensembles based on a linear program (LP). The ensemble regression function consists of linear combinations of base hypotheses generat...
Gunnar Rätsch, Ayhan Demiriz, Kristin P. Benn...
PDP
2006
IEEE
16 years 18 days ago
An Experimental Validation of the PRO Model for Parallel and Distributed Computation
— The Parallel Resource-Optimal (PRO) computation model was introduced by Gebremedhin et al. [2002] as a framework for the design and analysis of efficient parallel algorithms. ...
Mohamed Essaïdi, Jens Gustedt
CVPR
2005
IEEE
16 years 8 months ago
Digital Tapestry
This paper addresses the novel problem of automatically synthesizing an output image from a large collection of different input images. The synthesized image, called a digital tap...
Carsten Rother, Sanjiv Kumar, Vladimir Kolmogorov,...
MP
2006
87views more  MP 2006»
15 years 6 months ago
Convexity and decomposition of mean-risk stochastic programs
Abstract. Traditional stochastic programming is risk neutral in the sense that it is concerned with the optimization of an expectation criterion. A common approach to addressing ri...
Shabbir Ahmed
ICCV
2009
IEEE
16 years 11 months ago
An Algebraic Approach to Affine Registration of Point Sets
This paper proposes a new affine registration algorithm for matching two point sets in IR2 or IR3. The input point sets are represented as probability density functions, using e...
Jeffrey Ho, Adrian Peter, Anand Rangarajan, Ming-H...