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» Feature selection for ranking using boosted trees
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CCE
2005
14 years 11 months ago
Method for selection of solvents for promotion of organic reactions
A method to select appropriate green solvents for the promotion of a class of organic reactions has been developed. The method combines knowledge from industrial practice and phys...
Rafiqul Gani, Concepción Jiménez-Gon...
IVC
2006
187views more  IVC 2006»
14 years 11 months ago
Dynamics of facial expression extracted automatically from video
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...
IVC
2007
187views more  IVC 2007»
14 years 11 months ago
Non-rigid structure from motion using ranklet-based tracking and non-linear optimization
In this paper, we address the problem of estimating the 3D structure and motion of a deformable object given a set of image features tracked automatically throughout a video seque...
Alessio Del Bue, Fabrizio Smeraldi, Lourdes de Aga...
AMFG
2007
IEEE
283views Biometrics» more  AMFG 2007»
15 years 3 months ago
Learning Personal Specific Facial Dynamics for Face Recognition from Videos
In this paper, we present an effective approach for spatiotemporal face recognition from videos using an Extended set of Volume LBP (Local Binary Pattern features) and a boosting s...
Abdenour Hadid, Matti Pietikäinen, Stan Z. Li
IBPRIA
2007
Springer
15 years 3 months ago
Random Forest for Gene Expression Based Cancer Classification: Overlooked Issues
Random forest is a collection (ensemble) of decision trees. It is a popular ensemble technique in pattern recognition. In this article, we apply random forest for cancer classifica...
Oleg Okun, Helen Priisalu