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» Sample Complexity of Composite Likelihood
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JMLR
2006
118views more  JMLR 2006»
13 years 5 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
CVPR
2008
IEEE
14 years 7 months ago
Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut
This paper proposes a novel approach to discover a set of class specific "composite features" as the feature pool for the detection and classification of complex objects...
Feng Han, Ying Shan, Harpreet S. Sawhney, Rakesh K...
ICCV
2011
IEEE
12 years 5 months ago
Image Segmentation by Figure-Ground Composition into Maximal Cliques
We propose a mid-level statistical model for image segmentation that composes multiple figure-ground hypotheses (FG) obtained by applying constraints at different locations and s...
Adrian Ion, Joao Carreira, Cristian Sminchisescu
BMCBI
2006
223views more  BMCBI 2006»
13 years 5 months ago
PSMIX: an R package for population structure inference via maximum likelihood method
Background: Inference of population stratification and individual admixture from genetic markers is an integrative part of a study in diverse situations, such as association mappi...
Baolin Wu, Nianjun Liu, Hongyu Zhao
SCIA
2005
Springer
182views Image Analysis» more  SCIA 2005»
13 years 11 months ago
Complex Correlation Statistic for Dense Stereoscopic Matching
A traditional solution of area-based stereo uses some kind of windowed pixel intensity correlation. This approach suffers from discretization artifacts which corrupt the correlat...
Jan Cech, Radim Sára