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

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书目名称Computational Forensics影响因子(影响力)




书目名称Computational Forensics影响因子(影响力)学科排名




书目名称Computational Forensics网络公开度




书目名称Computational Forensics网络公开度学科排名




书目名称Computational Forensics被引频次




书目名称Computational Forensics被引频次学科排名




书目名称Computational Forensics年度引用




书目名称Computational Forensics年度引用学科排名




书目名称Computational Forensics读者反馈




书目名称Computational Forensics读者反馈学科排名

Amendment

松软无力

medium

Similarity Visualization for the Grouping of Forensic Speech Recordingsed out that for the original high dimensional similarity measure the nearest recording is almost always the one from the same speaker. In the 2-D visualization, we achieved that on average for all speech recordings a recording of the same speaker is among the 10 nearest recordings.

Atmosphere

Signature Verification Using a Bayesian Approachtain another distribution in distance space - “Questioned vs Known distribution”. The two distributions are then compared using a new Bayesian similarity measure to test whether the samples in the distribution are from the same distribution(Genuine) or not(Forgery). The approach yields improved perf

Alveolar-Bone

Stroke-Morphology Analysis Using Super-Imposed Writing Movements type of pen used. By means of recorded and super-imposed writing movements, ink traces are sampled, and local ink-trace characteristics are encoded in one feature vector per sample record. These data establish a sequence which faithfully reflects the spatial distribution of ink-trace characteristic

Alveolar-Bone

https://doi.org/10.1007/978-0-387-75816-9d background. The matching of these extracted shoeprints to the known prints largely depends on the quality of the extracted shoeprint from latent print. The labeling problem is naturally formulated as a machine learning task and in this paper we present an approach using Conditional Random Fields(C

CALL

Hereditary Portfolio Optimization,vercomes the limitations of the existing technologies to retrieve the information from the knowledge discovered through data mining based on the detailed meanings of the text. For this, we propose a Knowledge representation technique, which uses Resources Description Framework (RDF) metadata to repr

大范围流行

Hereditary Portfolio Optimization,d in forensic search applications. We compare the performances of the search procedure with the two distances applied in it. Experimental results show that the procedure with the .-gram distance implemented achieves for some values of . almost the same accuracy as the one with the constrained edit d

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