Applied Graph Theory in Computer Vision and Pattern Recognition
This book will serve as a foundation for a variety of useful applications of graph theory to computer vision, pattern recognition, and related areas. It covers a representative set of novel graph-theoretic methods for complex computer vision and pattern recognition tasks. The first part of the book...
Corporate Author: | SpringerLink (Online service) |
---|---|
Other Authors: | Kandel, Abraham (Editor), Bunke, Horst (Editor), Last, Mark (Editor) |
Format: | Electronic eBook |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2007.
|
Series: | Studies in Computational Intelligence,
52 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
Applied Pattern Recognition
Published: (2008) -
Subspace Methods for Pattern Recognition in Intelligent Environment
Published: (2014) -
Machine Learning in Document Analysis and Recognition
Published: (2008) -
Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images
Published: (2007) -
Opportunities and Challenges for Next-Generation Applied Intelligence
Published: (2009)