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

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書目名稱Computational Forensics影響因子(影響力)




書目名稱Computational Forensics影響因子(影響力)學科排名




書目名稱Computational Forensics網(wǎng)絡公開度




書目名稱Computational Forensics網(wǎng)絡公開度學科排名




書目名稱Computational Forensics被引頻次




書目名稱Computational Forensics被引頻次學科排名




書目名稱Computational Forensics年度引用




書目名稱Computational Forensics年度引用學科排名




書目名稱Computational Forensics讀者反饋




書目名稱Computational Forensics讀者反饋學科排名

Amendment

松軟無力

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

大范圍流行

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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