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Efficient supervised optimum-path forest classification for large datasets

  • Published:2012-01 Issue:1 Volume:45 Page:512-520
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Papa João P.,Falcão Alexandre X.,de Albuquerque Victor Hugo C.,Tavares João Manuel R.S.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference33 articles.

1. Synergistic arc-weight estimation for interactive image segmentation using graphs;Miranda;Computer Vision and Image Understanding,2010

2. Fast interactive segmentation of natural images using the image foresting transform;Spina,2009

3. A new CBIR approach based on relevance feedback and optimum-path forest classification;Silva;Journal of WSCG,2010

4. Support-vector networks;Cortes;Machine Learning,1995

5. Neural Networks: a Comprehensive Foundation;Haykin,1994

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