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» A Bayesian Approach to Tackling Hard Computational Problems
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STOC
2012
ACM
221views Algorithms» more  STOC 2012»
11 years 10 months ago
From query complexity to computational complexity
We consider submodular optimization problems, and provide a general way of translating oracle inapproximability results arising from the symmetry gap technique to computational co...
Shahar Dobzinski, Jan Vondrák
ICPR
2002
IEEE
14 years 15 days ago
Neighborhood Coherence and Edge Based Approaches to Film Scene Extraction
In order to enable high-level semantics-based video annotation and interpretation, we tackle the problem of automatic decomposition of motion pictures into meaningful story units,...
Ba Tu Truong, Svetha Venkatesh, Chitra Dorai
ICIP
2003
IEEE
14 years 26 days ago
Texture analysis: an adaptive probabilistic approach
Two main issues arise when working in the area of texture segmentation: the need to describe the texture accurately by capturing its underlying structure, and the need to perform ...
Karen Brady, Ian Jermyn, Josiane Zerubia
3DOR
2010
13 years 2 months ago
Learning the Compositional Structure of Man-Made Objects for 3D Shape Retrieval
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
Raoul Wessel, Reinhard Klein
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
14 years 1 months ago
Bayesian estimation of rule accuracy in UCS
Learning Classifier Systems differ from many other classification techniques, in that new rules are constantly discovered and evaluated. This feature of LCS gives rise to an im...
James A. R. Marshall, Gavin Brown, Tim Kovacs