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» A comparative study of two object recognition methods
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CVPR
2009
IEEE
16 years 11 months ago
Unsupervised Learning for Graph Matching
Graph matching is an important problem in computer vision. It is used in 2D and 3D object matching and recognition. Despite its importance, there is little literature on learnin...
Marius Leordeanu, Martial Hebert
GECCO
2003
Springer
322views Optimization» more  GECCO 2003»
15 years 9 months ago
AntClust: Ant Clustering and Web Usage Mining
Abstract. In this paper, we propose a new ant-based clustering algorithm called AntClust. It is inspired from the chemical recognition system of ants. In this system, the continuou...
Nicolas Labroche, Nicolas Monmarché, Gilles...
ICASSP
2011
IEEE
14 years 8 months ago
An effective foreground/background segmentation approach for bootstrapping video sequences
In this study, an effective foreground/background segmentation approach for bootstrapping video sequences is proposed. First, a modified block representation approach is used to c...
Han-Hui Hsiao, Jin-Jang Leou
HVEI
2010
15 years 5 months ago
Statistical analysis of subjective preferences for video enhancement
Traditional Thurstone scaling (1927) constructs a perceptual scale from pairwise comparisons without providing statistical inferences. We show that subjective preferences for movi...
Russell L. Woods, PremNandhini Satgunam, P. Matthe...
NC
1998
102views Neural Networks» more  NC 1998»
15 years 5 months ago
Outliers and Bayesian Inference
In this paper we report about an investigation in which we studied the properties of Bayes' inferred neural network classifiers in the context of outlier detection. The proble...
Peter Sykacek