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» A Combination Method for Generating Interpolants
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ICDAR
2009
IEEE
15 years 3 months ago
Learning Bayesian Networks by Evolution for Classifier Combination
Combining classifier methods have shown their effectiveness in a number of applications. Nonetheless, using simultaneously multiple classifiers may result in some cases in a reduc...
Claudio De Stefano, Francesco Fontanella, Alessand...
NPL
2008
100views more  NPL 2008»
15 years 5 months ago
Comparing Combination Rules of Pairwise Neural Networks Classifiers
A decomposition approach to multiclass classification problems consists in decomposing a multiclass problem into a set of binary ones. Decomposition splits the complete multiclass ...
Olivier Lezoray, Hubert Cardot
CGF
2006
183views more  CGF 2006»
15 years 5 months ago
Cross Dissolve Without Cross Fade: Preserving Contrast, Color and Salience in Image Compositing
Linear interpolation is the standard image blending method used in image compositing. By averaging in the dynamic range, it reduces contrast and visibly degrades the quality of co...
Mark Grundland, Rahul Vohra, Gareth P. Williams, N...
3DPH
2009
128views Healthcare» more  3DPH 2009»
15 years 6 months ago
Predicting Missing Markers in Real-Time Optical Motion Capture
Abstract. A common problem in optical motion capture of human-body movement is the so-called missing marker problem. The occlusion of markers can lead to significant problems in tr...
Tommaso Piazza, Johan Lundström, Andreas Kunz...
ICASSP
2011
IEEE
14 years 9 months ago
Sparse decomposition of transformation-invariant signals with continuous basis pursuit
Consider the decomposition of a signal into features that undergo transformations drawn from a continuous family. Current methods discretely sample the transformations and apply s...
Chaitanya Ekanadham, Daniel Tranchina, Eero P. Sim...