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Hidden Markov Models: Applications In Computer Vision

2001-06-04 Computers
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Release : 2001-06-04
Genre : Computers
Kind : eBook
Book Rating : 470/5 ( reviews)

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Book Synopsis Hidden Markov Models: Applications In Computer Vision by : Horst Bunke

Download or read book Hidden Markov Models: Applications In Computer Vision written by Horst Bunke. This book was released on 2001-06-04. Available in PDF, EPUB and Kindle. Book excerpt: Hidden Markov models (HMMs) originally emerged in the domain of speech recognition. In recent years, they have attracted growing interest in the area of computer vision as well. This book is a collection of articles on new developments in the theory of HMMs and their application in computer vision. It addresses topics such as handwriting recognition, shape recognition, face and gesture recognition, tracking, and image database retrieval.This book is also published as a special issue of the International Journal of Pattern Recognition and Artificial Intelligence (February 2001).

Markov Models for Pattern Recognition

2014-01-14 Computers
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Release : 2014-01-14
Genre : Computers
Kind : eBook
Book Rating : 087/5 ( reviews)

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Book Synopsis Markov Models for Pattern Recognition by : Gernot A. Fink

Download or read book Markov Models for Pattern Recognition written by Gernot A. Fink. This book was released on 2014-01-14. Available in PDF, EPUB and Kindle. Book excerpt: This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient approximate Viterbi-training procedure, a theoretical derivation of the perplexity measure and coverage of multi-pass decoding based on n-best search. Supporting the discussion of the theoretical foundations of Markov modeling, special emphasis is also placed on practical algorithmic solutions. Features: introduces the formal framework for Markov models; covers the robust handling of probability quantities; presents methods for the configuration of hidden Markov models for specific application areas; describes important methods for efficient processing of Markov models, and the adaptation of the models to different tasks; examines algorithms for searching within the complex solution spaces that result from the joint application of Markov chain and hidden Markov models; reviews key applications of Markov models.

Hidden Markov Models for Pattern Recognition and Computer Vision

2002
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Release : 2002
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Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Hidden Markov Models for Pattern Recognition and Computer Vision by : Manuele Bicego

Download or read book Hidden Markov Models for Pattern Recognition and Computer Vision written by Manuele Bicego. This book was released on 2002. Available in PDF, EPUB and Kindle. Book excerpt:

Stochastic Image Processing

2013-11-27 Computers
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Release : 2013-11-27
Genre : Computers
Kind : eBook
Book Rating : 572/5 ( reviews)

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Book Synopsis Stochastic Image Processing by : Chee Sun Won

Download or read book Stochastic Image Processing written by Chee Sun Won. This book was released on 2013-11-27. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Image Processing provides the first thorough treatment of Markov and hidden Markov random fields and their application to image processing. Although promoted as a promising approach for over thirty years, it has only been in the past few years that the theory and algorithms have developed to the point of providing useful solutions to old and new problems in image processing. Markov random fields are a multidimensional extension of Markov chains, but the generalization is complicated by the lack of a natural ordering of pixels in multidimensional spaces. Hidden Markov fields are a natural generalization of the hidden Markov models that have proved essential to the development of modern speech recognition, but again the multidimensional nature of the signals makes them inherently more complicated to handle. This added complexity contributed to the long time required for the development of successful methods and applications. This book collects together a variety of successful approaches to a complete and useful characterization of multidimensional Markov and hidden Markov models along with applications to image analysis. The book provides a survey and comparative development of an exciting and rapidly evolving field of multidimensional Markov and hidden Markov random fields with extensive references to the literature.

Artificial Intelligence and Soft Computing

2013-06-04 Computers
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Release : 2013-06-04
Genre : Computers
Kind : eBook
Book Rating : 58X/5 ( reviews)

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Book Synopsis Artificial Intelligence and Soft Computing by : Leszek Rutkowski

Download or read book Artificial Intelligence and Soft Computing written by Leszek Rutkowski. This book was released on 2013-06-04. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 7894 and LNCS 7895 constitutes the refereed proceedings of the 12th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2013, held in Zakopane, Poland in June 2013. The 112 revised full papers presented together with one invited paper were carefully reviewed and selected from 274 submissions. The 57 papers included in the first volume are organized in the following topical sections: neural networks and their applications; fuzzy systems and their applications; pattern classification; and computer vision, image and speech analysis.

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