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» Robust Algorithms for Object Localization
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AI
2006
Springer
14 years 16 days ago
On the Quality and Quantity of Random Decisions in Stochastic Local Search for SAT
Stochastic local search (SLS) methods are underlying some of the best-performing algorithms for certain types of SAT instances, both from an empirical as well as from a theoretical...
Dave A. D. Tompkins, Holger H. Hoos
CVPR
2005
IEEE
14 years 10 months ago
Part-Based Statistical Models for Object Classification and Detection
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...
Elliot Joel Bernstein, Yali Amit
SDM
2011
SIAM
198views Data Mining» more  SDM 2011»
12 years 11 months ago
Exemplar-based Robust Coherent Biclustering
The biclustering, co-clustering, or subspace clustering problem involves simultaneously grouping the rows and columns of a data matrix to uncover biclusters or sub-matrices of the...
Kewei Tu, Xixiu Ouyang, Dingyi Han, Vasant Honavar
ICMCS
2006
IEEE
310views Multimedia» more  ICMCS 2006»
14 years 2 months ago
An Optimal and Statistically Robust Correlation Technique for Block Based Motion Estimation
In this paper we propose an optimal and robust correlation technique for the local motion estimation purposes. It is based on the maximization of a statistical robust matching fun...
Fedwa Essannouni, Rachid Oulad Haj Thami, Ahmed Sa...
FUIN
2007
95views more  FUIN 2007»
13 years 8 months ago
Compositional Systems over Reducible Networks
Abstract. In the paper two notions related to local (distributed) computations are identified and discussed. The first one is the notion of reducible graphs. A graph is reducible...
Antoni W. Mazurkiewicz