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ICDAR
2009
IEEE
13 years 6 months ago
Evaluation of Different Strategies to Optimize an HMM-Based Character Recognition System
Different strategies for combination of complementary features in an HMM-based method for handwritten character recognition are evaluated. In addition, a noise reduction method is...
Murilo Santos, Albert Hung-Ren Ko, Luiz S. Oliveir...
TIP
2008
185views more  TIP 2008»
13 years 7 months ago
Active Learning Methods for Interactive Image Retrieval
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
Philippe Henri Gosselin, Matthieu Cord
GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
14 years 1 months ago
Niching in evolution strategies
Evolutionary Algorithms (EAs), popular search methods for solving search and optimization problems, are known for successful and fast location of single optimal solutions. However,...
Ofer M. Shir, Thomas Bäck
ICIP
2009
IEEE
13 years 6 months ago
Optimization on active learning strategy for object category retrieval
Active learning is a framework that has attracted a lot of research interest in the content-based image retrieval (CBIR) in recent years. To be effective, an active learning syste...
David Gorisse, Matthieu Cord, Frédér...
ICC
2007
IEEE
117views Communications» more  ICC 2007»
14 years 2 months ago
Comparing Different Transmission Strategies Using Turbo Codes for Nonuniform Memoryless Sources
— Nonuniform sources can be found in real world applications as uncompressed speech, text and medical images. In this paper we compare the performance of three different methods ...
Gilberto Titericz Jr., Richard Demo Souza, Javier ...