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ECCV
2010
Springer
13 years 11 months ago
Clustering Complex Data with Group-Dependent Feature Selection
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...
ESA
2001
Springer
145views Algorithms» more  ESA 2001»
14 years 1 months ago
Grouping Techniques for Scheduling Problems: Simpler and Faster
In this paper we describe a general grouping technique to devise faster and simpler approximation schemes for several scheduling problems. We illustrate the technique on two diff...
Aleksei V. Fishkin, Klaus Jansen, Monaldo Mastroli...
CIA
1999
Springer
14 years 1 months ago
A Similarity Evaluation Technique for Cooperative Problem Solving with a Group of Agents
Abstract. Evaluations of distances or similarity measurements are very important in cooperative problem solving with multiple agents. Distance between problems is used by agents to...
Seppo Puuronen, Vagan Y. Terziyan
CVPR
2004
IEEE
14 years 11 months ago
Atlanta World: An Expectation Maximization Framework for Simultaneous Low-Level Edge Grouping and Camera Calibration in Complex
Edges in man-made environments, grouped according to vanishing point directions, provide single-view constraints that have been exploited before as a precursor to both scene under...
Grant Schindler, Frank Dellaert
BMCBI
2007
117views more  BMCBI 2007»
13 years 9 months ago
Supervised multivariate analysis of sequence groups to identify specificity determining residues
Background: Proteins that evolve from a common ancestor can change functionality over time, and it is important to be able identify residues that cause this change. In this paper ...
Iain M. Wallace, Desmond G. Higgins