Analysis of Relaxation Processes: the Two-node, Two-label Case

Analysis of Relaxation Processes: the Two-node, Two-label Case PDF Author: University of Maryland at College Park. Computer Science Center
Publisher:
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Category :
Languages : en
Pages :

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Analysis of Relaxation Processes: the Two-node, Two-label Case

Analysis of Relaxation Processes: the Two-node, Two-label Case PDF Author: University of Maryland at College Park. Computer Science Center
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Pattern Recognition Theory and Applications

Pattern Recognition Theory and Applications PDF Author: Pierre A. Devijver
Publisher: Springer Science & Business Media
ISBN: 3642830692
Category : Computers
Languages : en
Pages : 531

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Book Description
This book is the outcome of a NATO Advanced Study Institute on Pattern Recog nition Theory and Applications held in Spa-Balmoral, Belgium, in June 1986. This Institute was the third of a series which started in 1975 in Bandol, France, at the initia tive of Professors K. S. Fu and A. Whinston, and continued in 1981 in Oxford, UK, with Professors K. S. Fu, J. Kittler and L. -F. Pau as directors. As early as in 1981, plans were made to pursue the series in about 1986 and possibly in Belgium, with Professor K. S. Fu and the present editors as directors. Unfortunately, Ie sort en decida autrement: Professor Fu passed away in the spring of 1985. His sudden death was an irreparable loss to the scientific community and to all those who knew him as an inspiring colleague, a teacher or a dear friend. Soon after, Josef Kittler and I decided to pay a small tribute to his memory by helping some of his plans to materialize. With the support of the NATO Scientific Affairs Division, the Institute became a reality. It was therefore but natural that the proceedings of the Institute be dedicated to him. The book contains most of the papers that were presented at the Institute. Papers are grouped along major themes which hopefully represent the major areas of contem porary research. These are: 1. Statistical methods and clustering techniques 2. Probabilistic relaxation techniques 3. From Markovian to connectionist models 4.

Markov Random Field Modeling in Image Analysis

Markov Random Field Modeling in Image Analysis PDF Author: Stan Z. Li
Publisher: Springer Science & Business Media
ISBN: 4431670440
Category : Computers
Languages : en
Pages : 338

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Book Description
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when used with optimization principles. This book presents a comprehensive study on the use of MRFs for solving computer vision problems. The book covers the following parts essential to the subject: introduction to fundamental theories, formulations of MRF vision models, MRF parameter estimation, and optimization algorithms. Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation. This second edition includes the most important progress in Markov modeling in image analysis in recent years such as Markov modeling of images with "macro" patterns (e.g. the FRAME model), Markov chain Monte Carlo (MCMC) methods, reversible jump MCMC. This book is an excellent reference for researchers working in computer vision, image processing, statistical pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses in these areas.

Structural, Syntactic, and Statistical Pattern Recognition

Structural, Syntactic, and Statistical Pattern Recognition PDF Author: Edwin R. Hancock
Publisher: Springer
ISBN: 3642149804
Category : Computers
Languages : en
Pages : 773

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Book Description
This volume in the Springer Lecture Notes in Computer Science (LNCS) series contains the papers presented at the S+SSPR 2010 Workshops, which was the seventh occasion that SPR and SSPR workshops have been held jointly. S+SSPR 2010 was organized by TC1 and TC2, Technical Committees of the International Association for Pattern Recognition(IAPR), andheld inCesme, Izmir, whichis a seaside resort on the Aegean coast of Turkey. The conference took place during August 18–20, 2010, only a few days before the 20th International Conference on Pattern Recognition (ICPR) which was held in Istanbul. The aim of the series of workshops is to create an international forum for the presentation of the latest results and exchange of ideas between researchers in the ?elds of statistical and structural pattern recognition. SPR 2010 and SSPR 2010 received a total of 99 paper submissions from many di?erent countries around the world, giving it a truly international perspective, as has been the case for previous S+SSPR workshops. This volume contains 70 accepted papers, 39 for oral and 31 for poster presentation. In addition to par- lel oral sessions for SPR and SSPR, there were two joint oral sessions of interest to both SPR and SSPR communities. Furthermore, to enhance the workshop experience, there were two joint panel sessions on “Structural Learning” and “Clustering,” in which short author presentations were followed by discussion. Another innovation this year was the ?lming of the proceedings by Videol- tures.

Computer Vision Technical Reports

Computer Vision Technical Reports PDF Author: University of Maryland, College Park. Center for Automation Research
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 208

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IEEE International Conference on Systems Engineering

IEEE International Conference on Systems Engineering PDF Author:
Publisher:
ISBN:
Category : Systems engineering
Languages : en
Pages : 678

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Markov Random Field Modeling in Computer Vision

Markov Random Field Modeling in Computer Vision PDF Author: S.Z. Li
Publisher: Springer Science & Business Media
ISBN: 4431669337
Category : Computers
Languages : en
Pages : 274

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Book Description
Markov random field (MRF) modeling provides a basis for the characterization of contextual constraints on visual interpretation and enables us to develop optimal vision algorithms systematically based on sound principles. This book presents a comprehensive study on using MRFs to solve computer vision problems, covering the following parts essential to the subject: introduction to fundamental theories, formulations of various vision models in the MRF framework, MRF parameter estimation, and optimization algorithms. Various MRF vision models are presented in a unified form, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation. This book is an excellent reference for researchers working in computer vision, image processing, pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses in the subject.

IEEE International Conference on Systems Engineering, September 17-19, 1992, International Conference Center, Kobe, Japan

IEEE International Conference on Systems Engineering, September 17-19, 1992, International Conference Center, Kobe, Japan PDF Author:
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 680

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Pattern Recognition and Image Analysis

Pattern Recognition and Image Analysis PDF Author: Jorge S. Marques
Publisher: Springer Science & Business Media
ISBN: 3540261532
Category : Computers
Languages : en
Pages : 713

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Book Description
The two-volume set LNCS 3522 and 3523 constitutes the refereed proceedings of the Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005, held in Estoril, Portugal in June 2005. The 170 revised full papers presented were carefully reviewed and selected from 292 submissions. The papers are organized in topical sections on computer vision, shape and matching, image and video processing, image and video coding, face recognition, human activity analysis, surveillance, robotics, hardware architectures, statistical pattern recognition, syntactical pattern recognition, image analysis, document analysis, bioinformatics, medical imaging, biometrics, speech recognition, natural language analysis, and applications.

Proceedings

Proceedings PDF Author:
Publisher:
ISBN:
Category : Computer vision
Languages : en
Pages : 746

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