Applications of a CNN for Automatics Classifications of Outsole Features
Date
2020-02-17
Authors
Tilton, Miranda
Vander Plas, Susan
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Authors
Research Projects
Organizational Units
Organizational Unit
Center for Statistics and Applications in Forensic Evidence
The Center for Statistics and Applications in Forensic Evidence (CSAFE) carries out research on the scientific foundations of forensic methods, develops novel statistical methods and transfers knowledge and technological innovations to the forensic science community. We collaborate with more than 80 researchers and across six universities to drive solutions to support our forensic community partners with accessible tools, open-source databases and educational opportunities.
Journal Issue
Is Version Of
Versions
Series
Department
Center for Statistics and Applications in Forensic Evidence
Abstract
Learning Overview: After attending this presentation, attendees will be familiar with the ways that CNNs can be applied to classify forensic pattern evidence, specifically with shoe outsole features.
Comments
Tilton, M., VanderPlas, S., Applications of a CNN for Automatics Classifications of Outsole Features”. 2020 AAFS Anaheim, CA. Posted with permission from CSAFE.
Description
Keywords
Citation
DOI
Source
Subject Categories
Copyright
Wed Jan 01 00:00:00 UTC 2020