作者: Amendment 時(shí)間: 2025-3-21 20:53 作者: 松軟無(wú)力 時(shí)間: 2025-3-22 02:28 作者: medium 時(shí)間: 2025-3-22 08:07
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.作者: Atmosphere 時(shí)間: 2025-3-22 11:54
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作者: Alveolar-Bone 時(shí)間: 2025-3-22 13:27
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作者: Alveolar-Bone 時(shí)間: 2025-3-22 20:56
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作者: CALL 時(shí)間: 2025-3-22 22:50
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作者: 大范圍流行 時(shí)間: 2025-3-23 05:12
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作者: 與野獸博斗者 時(shí)間: 2025-3-23 08:36 作者: AND 時(shí)間: 2025-3-23 09:59
https://doi.org/10.1007/978-1-4612-1466-3tain 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作者: Anticlimax 時(shí)間: 2025-3-23 16:00 作者: 驚呼 時(shí)間: 2025-3-23 19:33
0302-9743 investigation. This year’s edition covers presentations on c- putational methods for individuality studies, computer-based3D processing and analysis of skulls a978-3-540-85302-2978-3-540-85303-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 過(guò)份艷麗 時(shí)間: 2025-3-24 00:52 作者: Dungeon 時(shí)間: 2025-3-24 03:02 作者: Pepsin 時(shí)間: 2025-3-24 06:56 作者: TIGER 時(shí)間: 2025-3-24 12:39 作者: DOSE 時(shí)間: 2025-3-24 18:18 作者: Cacophonous 時(shí)間: 2025-3-24 22:52
Hereditary Portfolio Optimization,pus-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.作者: 臭了生氣 時(shí)間: 2025-3-24 23:36 作者: 無(wú)目標(biāo) 時(shí)間: 2025-3-25 05:14
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.作者: 危險(xiǎn) 時(shí)間: 2025-3-25 07:41
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.作者: 詞根詞綴法 時(shí)間: 2025-3-25 15:40 作者: Permanent 時(shí)間: 2025-3-25 19:31
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.作者: 迎合 時(shí)間: 2025-3-25 23:42 作者: 察覺(jué) 時(shí)間: 2025-3-26 03:32
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.作者: Brocas-Area 時(shí)間: 2025-3-26 05:53 作者: growth-factor 時(shí)間: 2025-3-26 12:12
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.作者: Resistance 時(shí)間: 2025-3-26 13:09
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 作者: 影響 時(shí)間: 2025-3-26 20:22 作者: Preamble 時(shí)間: 2025-3-26 22:34 作者: CREST 時(shí)間: 2025-3-27 04:34 作者: covert 時(shí)間: 2025-3-27 06:46
Person Identification Based on Barefoot 3D Sole Shaperiminant analysis (LDA) in conjunction with 1–NN classification, and support vector machines (SVM) in conjunction with output value thresholding. The obtained high identification and rejection rates indicate that the 3D foot sole shape of the human bare foot is adequate for person identification.作者: Canopy 時(shí)間: 2025-3-27 13:23
Conference proceedings 2008CF 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 using comp作者: FILLY 時(shí)間: 2025-3-27 14:57 作者: 發(fā)起 時(shí)間: 2025-3-27 20:55
Computational Methods for Determining Individualityata is sufficient to establish the individuality of every individual or even a demographic group. To test the individuality, generative models are given or learned to represent the distribution of certain characteristics such as birthday, human heights and fingerprints. Given the individuality asses作者: 確定的事 時(shí)間: 2025-3-28 00:45 作者: 凈禮 時(shí)間: 2025-3-28 04:27 作者: Encephalitis 時(shí)間: 2025-3-28 09:19 作者: 大雨 時(shí)間: 2025-3-28 13:37 作者: daredevil 時(shí)間: 2025-3-28 15:24 作者: POWER 時(shí)間: 2025-3-28 19:49
Computerized Matching of Shoeprints Based on Sole Patternased on manual coding with limited recognition ability, and the results are strongly dependent on the operator. In this paper, a shoeprint matching method based on PSD (power spectral density) and Zernike moment have been investigated. The PSD method aims at pressing images and the legible shoeprint作者: debouch 時(shí)間: 2025-3-28 22:56
Shoe-Print Extraction from Latent Images Using CRFurface of its contact. Latent shoeprints can be used for identification of suspects in a forensic case by narrowing down the search space. This is done by elimination of the type of shoe, by matching it against a set of known shoeprints (captured impressions of many different types of shoes on a che作者: 知識(shí)分子 時(shí)間: 2025-3-29 06:15
Finding Identity Group “Fingerprints” in Documentsl way. The results of document classification experiments suggest that these group-level attributes provide better predictions of group affiliation than document-level attributes. Applications of this method for forensic authorship analysis are also discussed.作者: Kindle 時(shí)間: 2025-3-29 08:58
Supporting Law Enforcement in Digital Communities through Natural Language Analysisal networking sites). Unfortunately, digital communities are host to significant criminal activity including copyright infringement, identity theft and child sexual abuse. Combating this growing level of crime is problematic due to the ever increasing scale of today’s digital communities. This paper作者: 先行 時(shí)間: 2025-3-29 13:58 作者: EPT 時(shí)間: 2025-3-29 16:49 作者: 不連貫 時(shí)間: 2025-3-29 20:22
Application of ,-Gram Distance in Digital Forensic Searchropriate fault tolerant distance measures are needed in order to detect evidence even if it has been previously distorted/partially erased from the search media. One of the appropriate fault-tolerant distance measures for this purpose is constrained edit distance, where the maximum numbers of consec作者: 方便 時(shí)間: 2025-3-30 00:47
Similarity Visualization for the Grouping of Forensic Speech Recordingsecordings are grouped using a clustering tool. The main disadvantage of such an approach is that in a bootstrapped scenario grouping errors accumulate. In this paper, we propose a visual approach to find similar speech recordings that probably stem from the same speaker. We first model the speech re作者: 會(huì)犯錯(cuò)誤 時(shí)間: 2025-3-30 04:56 作者: JUST 時(shí)間: 2025-3-30 11:38
Signature Verification Using a Bayesian Approachsian approach. Given sample(s) of Genuine signatures of an individual, the task of signature verification is a problem of classifying a questioned signature as Genuine or Forgery. The verification problem is a two step approach - (i)Enrollment: Genuine signature samples of an individual are provided作者: 抗原 時(shí)間: 2025-3-30 13:23
Stroke-Morphology Analysis Using Super-Imposed Writing Movementses on a new computational method for discovering and evaluating ink-trace characteristics related to the writing process. It aims (i) to provide a scientific basis for procedures applied in forensic casework and (ii) to derive advanced computational methods for the analysis of signature-stroke morph作者: 我要威脅 時(shí)間: 2025-3-30 20:30
Computational Forensics: An Overviewee areas: providing tools for use by the forensic examiner, establishing a scientific basis for the expertise, and providing an alternate opinion on a case. This paper gives a brief overview of computational forensics with a focus on those disciplines that involve pattern evidence.作者: 遺產(chǎn) 時(shí)間: 2025-3-30 22:48 作者: CHIP 時(shí)間: 2025-3-31 04:53 作者: anticipate 時(shí)間: 2025-3-31 06:47 作者: 悄悄移動(dòng) 時(shí)間: 2025-3-31 11:16
Qinyuan Liu,Zidong Wang,Xiao Heee areas: providing tools for use by the forensic examiner, establishing a scientific basis for the expertise, and providing an alternate opinion on a case. This paper gives a brief overview of computational forensics with a focus on those disciplines that involve pattern evidence.作者: 萬(wàn)神殿 時(shí)間: 2025-3-31 13:59 作者: fallible 時(shí)間: 2025-3-31 20:53 作者: 侵略主義 時(shí)間: 2025-3-31 23:19
Hereditary Portfolio Optimization,A major task in forensic pathology is the documentation of surface injuries. In this contribution, we present a semi-automatic approach for the processing of data from 3D photogrammetry for the visualization of the body surface.作者: gout109 時(shí)間: 2025-4-1 03:28
3D Processing and Visualization of Scanned Forensic DataA major task in forensic pathology is the documentation of surface injuries. In this contribution, we present a semi-automatic approach for the processing of data from 3D photogrammetry for the visualization of the body surface.作者: Onerous 時(shí)間: 2025-4-1 07:35 作者: Licentious 時(shí)間: 2025-4-1 10:58
Qinyuan Liu,Zidong Wang,Xiao Heee areas: providing tools for use by the forensic examiner, establishing a scientific basis for the expertise, and providing an alternate opinion on a case. This paper gives a brief overview of computational forensics with a focus on those disciplines that involve pattern evidence.
