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ECCV
2002
Springer
14 years 11 months ago
Phase-Based Local Features
Abstract. We introduce a new type of local feature basedon the phaseand amplitude responsesof complex-valuedsteerable filters. The designof this local feature is motivated by a des...
Gustavo Carneiro, Allan D. Jepson
ICPR
2008
IEEE
14 years 10 months ago
A method of feature selection using contribution ratio based on boosting
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...
Masamitsu Tsuchiya, Hironobu Fujiyoshi
PAMI
2010
276views more  PAMI 2010»
13 years 7 months ago
Local-Learning-Based Feature Selection for High-Dimensional Data Analysis
—This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature selection algorithm that addres...
Yijun Sun, Sinisa Todorovic, Steve Goodison
ITS
1992
Springer
123views Multimedia» more  ITS 1992»
14 years 1 months ago
Evaluation of Feature Based Modelling in Subtraction
One aim of intelligent tutoring systems is to tailor lessons to each individual student's needs. To do this a tutoring system requires a model of the student's knowledge...
Mark Kuzmycz, Geoffrey I. Webb
ECMDAFA
2005
Springer
83views Hardware» more  ECMDAFA 2005»
14 years 2 months ago
Synchronizing Cardinality-Based Feature Models and Their Specializations
Abstract. A software product line comprises a set of products implementing different configurations of features. The set of valid feature configurations within a product line ca...
Chang Hwan Peter Kim, Krzysztof Czarnecki