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CIVR
2004
Springer
117views Image Analysis» more  CIVR 2004»
15 years 11 months ago
Using Maximum Entropy for Automatic Image Annotation
In this paper, we propose the use of the Maximum Entropy approach for the task of automatic image annotation. Given labeled training data, Maximum Entropy is a statistical techniqu...
Jiwoon Jeon, R. Manmatha
GECCO
2004
Springer
144views Optimization» more  GECCO 2004»
15 years 11 months ago
Feature Subset Selection, Class Separability, and Genetic Algorithms
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
Erick Cantú-Paz
HIPC
2004
Springer
15 years 11 months ago
Lock-Free Parallel Algorithms: An Experimental Study
Abstract. Lock-free shared data structures in the setting of distributed computing have received a fair amount of attention. Major motivations of lock-free data structures include ...
Guojing Cong, David A. Bader
ICAISC
2004
Springer
15 years 11 months ago
Relevance LVQ versus SVM
Abstract. The support vector machine (SVM) constitutes one of the most successful current learning algorithms with excellent classification accuracy in large real-life problems an...
Barbara Hammer, Marc Strickert, Thomas Villmann
ICICS
2004
Springer
15 years 11 months ago
Hydan: Hiding Information in Program Binaries
We present a scheme to steganographically embed information in x86 program binaries. We define sets of functionally-equivalent instructions, and use a key-derived selection proces...
Rakan El-Khalil, Angelos D. Keromytis