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» Anytime Algorithm for Feature Selection
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ICB
2007
Springer
185views Biometrics» more  ICB 2007»
15 years 8 months ago
Biometric Hashing Based on Genetic Selection and Its Application to On-Line Signatures
We present a general biometric hash generation scheme based on vector quantization of multiple feature subsets selected with genetic optimization. The quantization of subsets overc...
Manuel R. Freire, Julian Fiérrez-Aguilar, J...
DICTA
2003
15 years 3 months ago
Face Recognition Based on Multiple Region Features
For face recognition, face feature selection is an important step. Better features should result in better performance. This paper describes a robust face recognition algorithm usi...
Jiaming Li, Geoff Poulton, Ying Guo, Rong-yu Qiao
BMCBI
2010
138views more  BMCBI 2010»
15 years 2 months ago
UFFizi: a generic platform for ranking informative features
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
Assaf Gottlieb, Roy Varshavsky, Michal Linial, Dav...
IROS
2006
IEEE
205views Robotics» more  IROS 2006»
15 years 8 months ago
Good Image Features for Bearing-only SLAM
Abstract— In this paper, we propose an algorithm for extracting and selecting SIFT (scale-invariant feature transform) visual features for bearing-only SLAM in indoor environment...
Xiang Wang, Hong Zhang
AIIA
2007
Springer
15 years 8 months ago
A Comparison of Genetic Algorithms for Optimizing Linguistically Informed IR in Question Answering
In this paper we compare four selection strategies in evolutionary optimization of information retrieval (IR) in a question answering setting. The IR index has been augmented by li...
Jörg Tiedemann