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Srihari, Sargur N.
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Likelihood ratio estimation in forensic identification using similarity and rarity
Tang Y., Srihari S. Pattern Recognition 47(3): 945-958, 2014. Type: Article
Estimating probabilities in forensics is a complex problem. There are several methodologies, all facing difficulties from the number of variables and our lack of knowledge of the distribution of some of the variables....
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Jan 15 2015
Computational intelligence in digital forensics: forensic investigation and applications
Muda A., Choo Y., Abraham A., Srihari S., Springer Publishing Company, Incorporated, New York, NY, 2014. 453 pp. Type: Book (978-3-319058-84-9)
This edited book introduces the reader to various aspects of digital forensics and digital investigation techniques....
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Jul 23 2014
Computational forensics: an overview
Franke K., Srihari S. IWCF 2008 (Proceedings of the 2nd International Workshop on Computational Forensics, Washington, DC, Aug 7-8, 2008) 1-10, 2008. Type: Proceedings
In this introductory review paper, Franke and Srihari try to position the discipline of computational forensics. Basically, they define it as the use of computational intelligence methods for forensic sciences. The objective is threefo...
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Mar 3 2009
Postal Address Block Location in Real Time
Palumbo P., Srihari S., Soh J., Sridhar R., Demjanenko V. Computer 25(7): 34-42, 1992. Type: Article
Researchers at the State University of New York (SUNY) at Buffalo have been engaged in a major research project to automate the location of destination address blocks (DABs) on letter mail pieces. This work is funded by the United Stat...
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Jan 1 1994
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