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» Dominant Sets and Hierarchical Clustering
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CVPR
2008
IEEE
14 years 9 months ago
Trajectory analysis and semantic region modeling using a nonparametric Bayesian model
We propose a novel nonparametric Bayesian model, Dual Hierarchical Dirichlet Processes (Dual-HDP), for trajectory analysis and semantic region modeling in surveillance settings, i...
Xiaogang Wang, Keng Teck Ma, Gee Wah Ng, W. Eric L...
CIKM
2009
Springer
14 years 2 months ago
Automobile, car and BMW: horizontal and hierarchical approach in social tagging systems
Social tagging systems have recently emerged as an effective way for users to annotate and organize large collections of resources on the Web. Moreover, they also facilitate an e...
Tom Chao Zhou, Irwin King
RECOMB
2010
Springer
14 years 2 months ago
Hierarchical Generative Biclustering for MicroRNA Expression Analysis
Clustering methods are a useful and common first step in gene expression studies, but the results may be hard to interpret. We bring in explicitly an indicator of which genes tie ...
José Caldas, Samuel Kaski
PAMI
2007
166views more  PAMI 2007»
13 years 7 months ago
A Bayesian, Exemplar-Based Approach to Hierarchical Shape Matching
—This paper presents a novel probabilistic approach to hierarchical, exemplar-based shape matching. No feature correspondence is needed among exemplars, just a suitable pairwise ...
Dariu Gavrila
GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
14 years 1 months ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello