Advertisement
Published in:
2018 | OriginalPaper | Chapter
Acceleration of Dissimilarity-Based Classification Algorithms Using Multi-core Computation
Authors : Ana-Lorena Uribe-Hurtado, Mauricio Orozco-Alzate
Published in: Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
The objective of this dissertation proposal will focus on finding the computational structures that allow to adapt costly dissimilarity-based classification algorithms to multi-core architectures for CPU based systems, in order to achieve computational efficiency and improving the accelerations of their corresponding sequential implementations. This paper shows preliminary results of the parallel implementation of the leave-one-out test for the Nearest Feature Line and Rectified Nearest Feature Line Segment classifiers.