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» Parallelizing Feature Selection
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ICCV
2007
IEEE
16 years 4 months ago
Vector Quantizing Feature Space with a Regular Lattice
Most recent class-level object recognition systems work with visual words, i.e., vector quantized local descriptors. In this paper we examine the feasibility of a dataindependent ...
Tinne Tuytelaars, Cordelia Schmid
127
Voted
PR
2008
93views more  PR 2008»
15 years 2 months ago
Genetic algorithm-based feature set partitioning for classification problems
Feature set partitioning generalizes the task of feature selection by partitioning the feature set into subsets of features that are collectively useful, rather than by finding a ...
Lior Rokach
168
Voted
MICCAI
2005
Springer
15 years 8 months ago
Learning Best Features for Deformable Registration of MR Brains
Abstract. This paper presents a learning method to select best geometric features for deformable brain registration. Best geometric features are selected for each brain location, a...
Guorong Wu, Feihu Qi, Dinggang Shen
139
Voted
CIA
2006
Springer
15 years 6 months ago
Improving Example Selection for Agents Teaching Ontology Concepts
Abstract. We present a method to improve the positive examples selection by teaching agents in a multi-agent system in which a team of agent peers teach concepts to a learning agen...
Mohsen Afsharchi, Behrouz H. Far
111
Voted
ICPR
2008
IEEE
15 years 9 months ago
Extraction of complex wavelet features for iris recognition
This paper presents a new feature extraction method for iris recognition. Since two dimensional complex wavelet transform (2D-CWT) does not only keep wavelet transform’s propert...
XiaoFu He, Pengfei Shi