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Titlebook: Computational Forensics; Second International Sargur N. Srihari,Katrin Franke Conference proceedings 2008 Springer-Verlag Berlin Heidelberg

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Supporting Law Enforcement in Digital Communities through Natural Language Analysispus-based natural language analysis may be used to automate the detection of this activity. We then give an overview of how this approach can be extended to police chat and social networking communities.
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Stochastic Control in Continuous Time,re significantly differs from the model signature. Our approach uses globally optimal document alignment to build a model signature that can be used to compute the probability of a new document being an original one. Preliminary evaluation shows that the method is able to reliably detect faked documents.
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Document Signature Using Intrinsic Features for Counterfeit Detectionre significantly differs from the model signature. Our approach uses globally optimal document alignment to build a model signature that can be used to compute the probability of a new document being an original one. Preliminary evaluation shows that the method is able to reliably detect faked documents.
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Stochastic Control in Continuous Time,cted document features were classified using three different machine learning approaches. We were able to show that, under the given constraints of high-throughput systems, it is possible to determine the printing technique used to create a document.
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Alain Bensoussan,Werner Hildenbrandbined according to a simple abstract–level combination approach. The experimental results related to a real-scenario demonstrate the effectiveness of the proposed approach and highlight some profitable directions for further developments.
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0302-9743 ensics (IWCF 2008), held August 7–8, 2008. It was a great honor for the organizers to host this scienti?c event at the renowned National Academy of Sciences: Keck Center in Washington, DC, USA. Computational Forensics is an emerging research domain focusing on the investigation of forensic problems
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