Posted by **tot167** at Dec. 7, 2010

S.,er | 2010 | ISBN: 1848829345 | 812 pages | PDF | 43,6 MB

Posted by **tot167** at March 2, 2010

Springer | 2010 | ISBN: 1848829345 | 630 pages | PDF | 14 MB

Posted by **AlenMiler** at Dec. 26, 2015

English | Nov. 16, 2015 | ISBN: 3527412646 | 480 Pages | AZW3/EPUB/PDF (conv) | 47.24 MB

As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and interpret all the data has made image processing and computer vision increasingly important.

Posted by **arundhati** at Oct. 22, 2015

English | 2012 | ISBN: 0470890843 | 384 pages | PDF | 6,4 MB

Posted by **DZ123** at Nov. 23, 2014

English | 2003 | ISBN: 1402012934 | PDF | pages: 234 | 3,1 mb

Posted by **interes** at Aug. 2, 2013

English | 2012 | ISBN: 0470890843 | 384 pages | PDF | 6,4 MB

While the field of computer vision drives many of today’s digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color in computer vision, this book provides a complete set of tools for working with color in the field of image understanding.

Posted by **step778** at Dec. 5, 2010

Publisher: Springer | pages: 230 | 2003 | ISBN: 1402012934 | PDF | 3,1 mb

During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful. This book describes some of these methods. In addition to the Maximum Likelihood framework, Bayesian Networks, and Hidden Markov models are also used. Three aspects are stressed: features, similarity metric, and models. Many interesting and important new results, based on research by the authors and their collaborators, are presented. Although this book contains many new results, it is written in a style that suits both experts and novices in computer vision.

Posted by **tot167** at April 20, 2009

Springer | 2009 | ISBN: 1402015070, 140208840X, 1402015038 | 466 pages | PDF | 5,6 MB

Posted by **lengen** at Nov. 15, 2016

English | October 4, 2013 | ISBN: 0412164302 | 156 Pages | PDF | 3 MB

This text is based on a course of about 16 hours lectures to students of mathematics, statistics, and/or operational research. It is intended to introduce readers to the very wide range of applicability of linear programming, covering problems of manage ment, administration, transportation and a number of other uses which are mentioned in their context. The emphasis is on numerical algorithms, which are illustrated by examples of such modest size that the solutions can be obtained using pen and paper. It is clear that these methods, if applied to larger problems, can also be carried out on automatic (electronic) computers. Commercially available computer packages are, in fact, mainly based on algorithms explained in this book.

Posted by **lengen** at Nov. 15, 2016

English | October 4, 2013 | ISBN: 0412164302 | 156 Pages | PDF | 3 MB

This text is based on a course of about 16 hours lectures to students of mathematics, statistics, and/or operational research. It is intended to introduce readers to the very wide range of applicability of linear programming, covering problems of manage ment, administration, transportation and a number of other uses which are mentioned in their context. The emphasis is on numerical algorithms, which are illustrated by examples of such modest size that the solutions can be obtained using pen and paper. It is clear that these methods, if applied to larger problems, can also be carried out on automatic (electronic) computers. Commercially available computer packages are, in fact, mainly based on algorithms explained in this book.