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» An Evaluation Framework for Plagiarism Detection
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CCS
2009
ACM
15 years 8 months ago
A framework for quantitative security analysis of machine learning
We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
Pavel Laskov, Marius Kloft
EAAI
2010
91views more  EAAI 2010»
15 years 1 months ago
A framework for on-line trend extraction and fault diagnosis
: Qualitative trend analysis (QTA) is a process-history-based data-driven technique that works by extracting important features (trends) from the measured signals and evaluating th...
Mano Ram Maurya, Praveen K. Paritosh, Raghunathan ...
ICDAR
2009
IEEE
14 years 11 months ago
A Novel Two Stage Evaluation Methodology for Word Segmentation Techniques
Word segmentation is a critical stage towards word and character recognition as well as word spotting and mainly concerns two basic aspects, distance computation and gap classific...
Georgios Louloudis, Nikolaos Stamatopoulos, Basili...
ICSE
2012
IEEE-ACM
13 years 3 months ago
Detecting similar software applications
—Although popular text search engines allow users to retrieve similar web pages, source code search engines do not have this feature. Detecting similar applications is a notoriou...
Collin McMillan, Mark Grechanik, Denys Poshyvanyk
CVPR
2012
IEEE
13 years 3 months ago
Exploiting local and global patch rarities for saliency detection
We introduce a saliency model based on two key ideas. The first one is considering local and global image patch rarities as two complementary processes. The second one is based o...
Ali Borji, Laurent Itti