A New Parallel Training Algorithm for Optimum-Path Forest-Based Learning
- 16 February 2017
- book chapter
- Published by Springer Nature
- p. 192-199
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Improving semi-supervised learning through optimum connectivityPattern Recognition, 2016
- Semi-supervised Pattern Classification Using Optimum-Path Forest2014
- Efficient supervised optimum-path forest classification for large datasetsPattern Recognition, 2012
- Data clustering as an optimum‐path forest problem with applications in image analysisInternational Journal of Imaging Systems and Technology, 2009
- Supervised pattern classification based on optimum‐path forestInternational Journal of Imaging Systems and Technology, 2009
- A New Variant of the Optimum-Path Forest Classifier2008
- The image foresting transform: theory, algorithms, and applicationsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2004
- Video image processing with the Sonic architectureComputer, 2000
- OpenMP: an industry standard API for shared-memory programmingIEEE Computational Science and Engineering, 1998