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» Comparing the Performance of Database Selection Algorithms
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ICPR
2004
IEEE
16 years 6 months ago
Large Scale Feature Selection Using Modified Random Mutation Hill Climbing
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...
Anil K. Jain, Michael E. Farmer, Shweta Bapna
GECCO
2010
Springer
135views Optimization» more  GECCO 2010»
15 years 6 months ago
Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noisy BBOB-2010 testbed
Sequential selection was introduced for Evolution Strategies (ESs) with the aim of accelerating their convergence— performing the evaluations of the different offspring sequen...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
ICIP
2006
IEEE
16 years 6 months ago
Perceptual Feature Selection for Semantic Image Classification
Content-based image retrieval has become an indispensable tool for managing the rapidly growing collections of digital images. The goal is to organize the contents semantically, a...
Dejan Depalov, Thrasyvoulos N. Pappas, Dongge Li, ...
SIGIR
2005
ACM
15 years 10 months ago
A database centric view of semantic image annotation and retrieval
We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...
Gustavo Carneiro, Nuno Vasconcelos
TCOM
2008
76views more  TCOM 2008»
15 years 4 months ago
Multi-user selection diversity for spread-spectrum multi-carrier multiple-access systems
Recently, Multi-User Selection Diversity (MUSDiv) for single-carrier systems has been under extensive study on account of the enhancement it provides to system performance with min...
Petros L. Katsis, George K. Karagiannidis, Fotini-...