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Application of Machine Learning to Toolmarks: Statistically Based Methods for Impression Pattern Comparisons - Nicholas Petraco,Helen Chan

englanti
2012-08-09
24,55 € 32,73 €

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Toimitus 10-16 arkipäivässä

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The National Institute of Justice (NIJ) is the research, development and evaluation agency of the US Department of Justice. The NIJ is dedicated to improving knowledge and understanding of crime and justice issues through science. NIJ provides objective and independent knowledge and tools to reduce crime and promote justice, particularly at the state and local levels. Each year, the NIJ publishes and sponso ... Täydellinen kuvaus

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The National Institute of Justice (NIJ) is the research, development and evaluation agency of the US Department of Justice. The NIJ is dedicated to improving knowledge and understanding of crime and justice issues through science. NIJ provides objective and independent knowledge and tools to reduce crime and promote justice, particularly at the state and local levels. Each year, the NIJ publishes and sponsors dozens of research and study documents detailing results, analyses and statistics that help to further the organization's mission. These documents relate to topics like biometrics, corrections technology, gun violence, digital forensics, human trafficking, electronic crime, terrorism, tribal justice and more. This document is one of these publications.

Lisätietoja

Kirjoittaja Nicholas Petraco, Helen Chan
Julkaisija BiblioGov
Julkaisuvuosi 2012
Kannen tyyppi Pehmeäkantinen
EAN 9781249247678
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Arvostelet: Application of Machine Learning to Toolmarks: Statistically Based Methods for Impression Pattern Comparisons
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24,55 € 32,73 €