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» Evaluating learning algorithms and classifiers
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IH
2004
Springer
14 years 2 months ago
Feature-Based Steganalysis for JPEG Images and Its Implications for Future Design of Steganographic Schemes
In this paper, we introduce a new feature-based steganalytic method for JPEG images and use it as a benchmark for comparing JPEG steganographic algorithms and evaluating their embe...
Jessica J. Fridrich
AUSAI
2009
Springer
14 years 29 days ago
Classification of EEG for Affect Recognition: An Adaptive Approach
Research on affective computing is growing rapidly and new applications are being developed more frequently. They use information about the affective/mental states of users to adap...
Omar AlZoubi, Rafael A. Calvo, Ronald H. Stevens
ICCBR
2007
Springer
14 years 25 days ago
When Similar Problems Don't Have Similar Solutions
The performance of a Case-Based Reasoning system relies on the integrity of its case base but in real life applications the available data used to construct the case base invariabl...
Stewart Massie, Susan Craw, Nirmalie Wiratunga
AUSAI
2008
Springer
13 years 10 months ago
Cross-Domain Knowledge Transfer Using Semi-supervised Classification
Traditional text classification algorithms are based on a basic assumption: the training and test data should hold the same distribution. However, this identical distribution assum...
Yi Zhen, Chunping Li
CLEF
2010
Springer
13 years 10 months ago
The Wroclaw University of Technology Participation at ImageCLEF 2010 Photo Annotation Track
Abstract. In this paper we present three methods for image autoannotation used by the Wroclaw University of Technology group at ImageCLEF 2010 Photo Annotation track. All of our ex...
Michal Stanek, Oskar Maier, Halina Kwasnicka