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» Feature selection in scientific applications
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CIDM
2007
IEEE
13 years 10 months ago
Detection of Unknown Computer Worms Activity Based on Computer Behavior using Data Mining
— Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, aft...
Robert Moskovitch, Ido Gus, Shay Pluderman, Dima S...
SOSYM
2010
124views more  SOSYM 2010»
13 years 8 months ago
Lifting transformational models of product lines: a case study
Model driven development (MDD) of software product lines (SPLs) merges two increasing important paradigms that synthesize programs by transformation. MDD creates programs by transf...
Greg Freeman, Don S. Batory, R. Greg Lavender, Jac...
ICDAR
2009
IEEE
13 years 7 months ago
Extraction of Characters on Signboards in Natural Scene Images by Stump Classifiers
We present a method to detect characters on signboards in natural scene images. For many applications, both classifier with small computational cost and the efficient feature set,...
Minoru Maruyama, Takuma Yamaguchi
IH
2001
Springer
14 years 2 months ago
Computational Forensic Techniques for Intellectual Property Protection
Computational forensic engineering (CFE) aims to identify the entity that created a particular intellectual property (IP). Rather than relying on watermarking content or designs, t...
Jennifer L. Wong, Darko Kirovski, Miodrag Potkonja...
MMS
2006
13 years 10 months ago
Evaluation and analysis of similarity measures for content-based visual information retrieval
The selection of appropriate proximity measures is one of the crucial success factors of content-based visual information retrieval. In this area of research, proximity measures ar...
Horst Eidenberger