Applied Graph Theory in Computer Vision and Pattern Recognition is popular PDF and ePub book, written by Abraham Kandel in 2007-03-12, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Applied Graph Theory in Computer Vision and Pattern Recognition can be Read Online from any device for your convenience.
Applied Graph Theory in Computer Vision and Pattern Recognition Book PDF Summary
This book presents novel graph-theoretic methods for complex computer vision and pattern recognition tasks. It presents the application of graph theory to low-level processing of digital images, presents graph-theoretic learning algorithms for high-level computer vision and pattern recognition applications, and provides detailed descriptions of several applications of graph-based methods to real-world pattern recognition tasks.
Detail Book of Applied Graph Theory in Computer Vision and Pattern Recognition PDF
- Author : Abraham Kandel
- Release : 12 March 2007
- Publisher : Springer Science & Business Media
- ISBN : 9783540680192
- Genre : Computers
- Total Page : 265 pages
- Language : English
- PDF File Size : 12,5 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Applied Graph Theory in Computer Vision and Pattern Recognition by Abraham Kandel, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.