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SETN
2004
Springer
14 years 24 days ago
Incremental Mixture Learning for Clustering Discrete Data
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
Konstantinos Blekas, Aristidis Likas
SMI
2008
IEEE
116views Image Analysis» more  SMI 2008»
14 years 1 months ago
A novel method for alignment of 3D models
In this paper we present a new method for alignment of 3D models. This approach is based on symmetry properties, and uses the fact that the principal components analysis (PCA) hav...
Mohamed Chaouch, Anne Verroust-Blondet
BMCBI
2006
139views more  BMCBI 2006»
13 years 7 months ago
DNA Molecule Classification Using Feature Primitives
Background: We present a novel strategy for classification of DNA molecules using measurements from an alpha-Hemolysin channel detector. The proposed approach provides excellent c...
Raja Tanveer Iqbal, Matthew Landry, Stephen Winter...
SAT
2010
Springer
158views Hardware» more  SAT 2010»
13 years 11 months ago
Dynamic Scoring Functions with Variable Expressions: New SLS Methods for Solving SAT
Abstract. We introduce a new conceptual model for representing and designing Stochastic Local Search (SLS) algorithms for the propositional satisfiability problem (SAT). Our model...
Dave A. D. Tompkins, Holger H. Hoos
PAMI
2011
13 years 2 months ago
Action Recognition Using Mined Hierarchical Compound Features
—The field of Action Recognition has seen a large increase in activity in recent years. Much of the progress has been through incorporating ideas from single frame object recogn...
Andrew Gilbert, John Illingworth, Richard Bowden