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181
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CVPR
2000
IEEE
16 years 8 months ago
Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help?
Many problems in vision can be formulated as Bayesian inference. It is important to determine the accuracy of these inferences and how they depend on the problem domain. In recent...
Alan L. Yuille, James M. Coughlan, Song Chun Zhu, ...
198
Voted
CVPR
2005
IEEE
16 years 8 months ago
A Sparse Support Vector Machine Approach to Region-Based Image Categorization
Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...
Jinbo Bi, Yixin Chen, James Ze Wang
GIS
2007
ACM
16 years 7 months ago
Exploiting automatically inferred constraint-models for building identification in satellite imagery
The building identification (BID) problem is based on a process that uses publicly available information to automatically assign addresses to buildings in satellite imagery. In pr...
Martin Michalowski, Craig A. Knoblock, Kenneth M. ...
MOBIHOC
2006
ACM
16 years 6 months ago
Energy conservation via domatic partitions
Using a dominating set as a coordinator in wireless networks has been proposed in many papers as an energy conservation technique. Since the nodes in a dominating set have the ext...
Sriram V. Pemmaraju, Imran A. Pirwani
APPROX
2009
Springer
138views Algorithms» more  APPROX 2009»
16 years 1 months ago
Submodular Maximization over Multiple Matroids via Generalized Exchange Properties
Submodular-function maximization is a central problem in combinatorial optimization, generalizing many important NP-hard problems including Max Cut in digraphs, graphs and hypergr...
Jon Lee, Maxim Sviridenko, Jan Vondrák