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» Optimization of bagging classifiers based on SBCB algorithm
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103
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ICIP
2007
IEEE
15 years 6 months ago
Coding Artifacts Robust Resolution Up-conversion
In this paper, an integrated resolution up-conversion and compression artifacts removal algorithm is proposed. Local image patterns are classified into object details or coding ar...
Ling Shao, Hao Hu, Gerard de Haan
GECCO
2006
Springer
205views Optimization» more  GECCO 2006»
15 years 3 months ago
Bounding XCS's parameters for unbalanced datasets
This paper analyzes the behavior of the XCS classifier system on imbalanced datasets. We show that XCS with standard parameter settings is quite robust to considerable class imbal...
Albert Orriols-Puig, Ester Bernadó-Mansilla
GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
15 years 22 days ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
91
Voted
CVPR
2005
IEEE
16 years 1 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
91
Voted
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 3 months ago
Evolving cooperative behavior in a power market
This paper presents an evolutionary algorithm to develop cooperative strategies for power buyers in a deregulated electrical power market. Cooperative strategies are evolved throu...
Dipti Srinivasan, Dakun Woo, Lily Rachmawati, Kong...