Open access peer-reviewed chapter

Block-Diagonal Forms of Distance Matrices for Partition Based Image Retrieval

By Dmitry Kinoshenko, Vladimir Mashtalir and Elena Yegorova

Published: February 1st 2010

DOI: 10.5772/9348

Downloaded: 960

© 2010 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike-3.0 License, which permits use, distribution and reproduction for non-commercial purposes, provided the original is properly cited and derivative works building on this content are distributed under the same license.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Dmitry Kinoshenko, Vladimir Mashtalir and Elena Yegorova (February 1st 2010). Block-Diagonal Forms of Distance Matrices for Partition Based Image Retrieval, Pattern Recognition Adam Herout, IntechOpen, DOI: 10.5772/9348. Available from:

Embed this chapter on your site Copy to clipboard

<iframe src="" />

Embed this code snippet in the HTML of your website to show this chapter

chapter statistics

960total chapter downloads

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Tile-based Image Visual Codewords Extraction for Efficient Indexing and Retrieval

By Zhiyong Zhang and Olfa Nasraoui

Related Book

Data Mining and Knowledge Discovery in Real Life Applications

Edited by Julio Ponce

First chapter

A Data Mining & Knowledge Discovery Process Model

By Oscar Marban, Gonzalo Mariscal and Javier Segovia

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

+3,550 Open Access Books

+57,400 Citations in Web of Science

+108,500 IntechOpen Authors and Academic Editors

+560,000 Unique visitors per month

More about us