02754nam a2200277 4500 391185 391185 20121008d2012 y0pory50 ba eng Application of machine learning to toolmarks Recurso eletrónico statistically based methods for impression pattern comparisons Nicholas D. K. Petraco ... [et al.] New York ed. do a. 2012 1 CD-ROM 12 cm Research report funded by the U.S. Department of Justice, Award nr. 2009-DN-BX-K041. Ficheiro de 7,37 MB em formato PDF (101 p.). Disponível também em: https://www.ncjrs.gov/pdffiles1/nij/grants/239048.pdf. Acedido a 08 de outubro de 2012. Executive summary. Final technical report. I. Introduction: 1. Statement of the problem. 2. Review of relevant literature. 2.1 Introduction to toolmarks and toolmark examination. 2.2 Individualization of toolmarks. 2.3 Materials for experimentation. 2.4 Two schools of thought. 2.5 Methods and techniques of toolmark examination. 2.6 Reliability of toolmark examination. 2.7 Court decisions. 2.8 Statistics and toolmarks. 3. Rationale for the research. II. Materials and Methods: 1. Materials. 2. Methods for toolmark impression data collection. 1.1 Generating reproducible toolmark impressions. 1.2 Confocal microscope. 3. Machine learning methods for toolmark comparison. 3.1 General striated toolmark surface preprocessing and feature vector construction. 3.2 The data matrix and principal component analysis. 3.3 Canonical variate analysis. 3.4 Support vector machines. 4. Methods for error rate estimation. 4.1 Resubstitution methods. 4.2 Conformal prediction theory. III. Results: 1. Toolmark impression data collection and database. 1.1 Cartridge case striation and impression pattern collection. 1.2 Striated toolmark pattern collection. 1.3 Database and web interface. 1.4 Surface visualization and measurement software. 1.5 Profile simulator software. 1.6 R software and statistical analysis scripts. 2. Statistical Analyses. 2.1 Glock 19 Cartridge Casings. 2.2 Screwdriver striation patterns. IV. Conclusions: 1. Discussion of findings. 2. Implications for policy and practice. 3. Implications for further research. V. References. VI. Dissemination of research findings. MARCAÇÃO DE OBJECTOS 343973 BALÍSTICA 320585 BASE DE DADOS 227272 ARMA DE FOGO E MUNIÇÕES 343053 APPLICATION OF MACHINE LEARNING TO TOOLMARKS 356877 Oferta 0 PJCD_210_000000000000000 2022-06-06 PJCD210 423135 PJ PJ PJ1CD210_37 PJCD210 2022-06-06 0 MO Oferta