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» Separating Complexity Classes Using Structural Properties
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TSP
2008
151views more  TSP 2008»
13 years 10 months ago
Convergence Analysis of Reweighted Sum-Product Algorithms
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
Tanya Roosta, Martin J. Wainwright, Shankar S. Sas...
ECCV
2010
Springer
13 years 7 months ago
An Efficient Graph Cut Algorithm for Computer Vision Problems
Abstract. Graph cuts has emerged as a preferred method to solve a class of energy minimization problems in computer vision. It has been shown that graph cut algorithms designed kee...
Chetan Arora, Subhashis Banerjee, Prem Kalra, S. N...
BMCBI
2010
167views more  BMCBI 2010»
13 years 10 months ago
Creating PWMs of transcription factors using 3D structure-based computation of protein-DNA free binding energies
Background: Knowledge of transcription factor-DNA binding patterns is crucial for understanding gene transcription. Numerous DNA-binding proteins are annotated as transcription fa...
Denitsa Alamanova, Philip Stegmaier, Alexander E. ...
PODS
2002
ACM
167views Database» more  PODS 2002»
14 years 10 months ago
OLAP Dimension Constraints
In multidimensional data models intended for online analytic processing (OLAP), data are viewed as points in a multidimensional space. Each dimension has structure, described by a...
Carlos A. Hurtado, Alberto O. Mendelzon
SSDBM
2006
IEEE
123views Database» more  SSDBM 2006»
14 years 4 months ago
Mining Hierarchies of Correlation Clusters
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
Elke Achtert, Christian Böhm, Peer Kröge...