Subspace Methods of Pattern Recognition

Subspace Methods of Pattern Recognition PDF Author: Erkki Oja
Publisher: John Wiley & Sons
ISBN:
Category : Psychology
Languages : en
Pages : 208

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Book Description
Discusses the fundamentals of subspace methods & the different approaches taken; concentrates on the learning subspace method used for automatic speech recognition & more generally for the classification of spectra.

Subspace Methods of Pattern Recognition

Subspace Methods of Pattern Recognition PDF Author: Erkki Oja
Publisher: John Wiley & Sons
ISBN:
Category : Psychology
Languages : en
Pages : 208

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Book Description
Discusses the fundamentals of subspace methods & the different approaches taken; concentrates on the learning subspace method used for automatic speech recognition & more generally for the classification of spectra.

Subspace Methods for Pattern Recognition in Intelligent Environment

Subspace Methods for Pattern Recognition in Intelligent Environment PDF Author: Yen-Wei Chen
Publisher:
ISBN: 9783642548529
Category :
Languages : en
Pages : 216

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Book Description


Subspace Methods for Pattern Recognition in Intelligent Environment

Subspace Methods for Pattern Recognition in Intelligent Environment PDF Author: Yen-Wei Chen
Publisher: Springer
ISBN: 3642548512
Category : Technology & Engineering
Languages : en
Pages : 210

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Book Description
This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rapidly increasing in our daily life. How to extract core information or useful features is an important issue. Subspace methods are widely used for dimension reduction and feature extraction in pattern recognition. They transform a high-dimensional data to a lower-dimensional space (subspace), where most information is retained. The book covers a broad spectrum of subspace methods including linear, nonlinear and multilinear subspace learning methods and applications. The applications include face alignment, face recognition, medical image analysis, remote sensing image classification, traffic sign recognition, image clustering, super resolution, edge detection, multi-view facial image synthesis.

Special Issue Kernel & Subspace Methods for Computer Vision

Special Issue Kernel & Subspace Methods for Computer Vision PDF Author: Aleš Leonardis
Publisher:
ISBN:
Category :
Languages : en
Pages : 275

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Book Description


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.

Structural, Syntactic, and Statistical Pattern Recognition

Structural, Syntactic, and Statistical Pattern Recognition PDF Author: Ana Fred
Publisher: Springer Science & Business Media
ISBN: 3540225706
Category : Computers
Languages : en
Pages : 1187

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Book Description
This book constitutes the refereed proceedings of the 10th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2004 and the 5th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2004, held jointly in Lisbon, Portugal, in August 2004. The 59 revised full papers and 64 revised poster papers presented together with 4 invited papers were carefully reviewed and selected from 219 submissions. The papers are organized in topical sections on graphs; visual recognition and detection; contours, lines, and paths; matching and superposition; transduction and translation; image and video analysis; syntactics, languages, and strings; human shape and action; sequences and graphs; pattern matching and classification; document image analysis; shape analysis; multiple classifier systems; density estimation; clustering; feature selection; classification; and representation.

Computer Vision

Computer Vision PDF Author: Roberto Cipolla
Publisher: Springer Science & Business Media
ISBN: 3642128475
Category : Computers
Languages : en
Pages : 362

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Book Description
Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer Vision Summer School - ICVSS was established in 2007 to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Computer Vision. The courses are delivered by world renowned experts in the field, from both academia and industry, and cover both theoretical and practical aspects of real Computer Vision problems. The school is organized every year by University of Cambridge (Computer Vision and Robotics Group) and University of Catania (Image Processing Lab). Different topics are covered each year. A summary of the past Computer Vision Summer Schools can be found at: http://www.dmi.unict.it/icvss This edited volume contains a selection of articles covering some of the talks and tutorials held during the first two editions of the school on topics such as Recognition, Registration and Reconstruction. The chapters provide an in-depth overview of these challenging areas with key references to the existing literature.

International Conference on Advances in Pattern Recognition

International Conference on Advances in Pattern Recognition PDF Author: Sameer Singh
Publisher: Springer Science & Business Media
ISBN: 1447108337
Category : Computers
Languages : en
Pages : 474

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Book Description
International Conference on Advances in Pattern Recognition (ICAPR 98) at Plymouth represents an important meeting for advanced research in pattern recognition. There is considerable interest in the areas of image processing, medical imaging, speech recognition, document analysis and character recognition, fuzzy data analysis and neural networks. ICAPR 98 is aimed at providing an international platform for invited research in this multi-disciplinary area. It is expected that the conference will grow in future years to include more research contributions that detail state-of the-art research in pattern recognition. ICAPR 98 attracted contributions from different countries of the highest quality. I should like to thank the programme and organising committee for doing an excellent job in organising this conference. The peer reviewed nature of the conference ensured high quality publications in these proceedings. My personal thanks to Mrs. Barbara Davies who served as conference secretary and worked tirelessly in organising the conference. I thank the organising chair for the local arrangements and our should also key-note, plenary and tutorial speakers for their valuable contributions to the conference. I also thank Springer-Verlag for publishing these proceedings that will be a valuable source of research reference for the readers. Finally, I thank all participants who made this conference successful.

Self-Organizing Maps

Self-Organizing Maps PDF Author: Teuvo Kohonen
Publisher: Springer Science & Business Media
ISBN: 3642569277
Category : Science
Languages : en
Pages : 514

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Book Description
The Self-Organizing Map (SOM), with its variants, is the most popular artificial neural network algorithm in the unsupervised learning category. About 4000 research articles on it have appeared in the open literature, and many industrial projects use the SOM as a tool for solving hard real world problems. Many fields of science have adopted the SOM as a standard analytical tool: statistics, signal processing, control theory, financial analyses, experimental physics, chemistry and medicine. This new edition includes a survey of over 2000 contemporary studies to cover the newest results. Case examples are provided with detailed formulae, illustrations, and tables. Further, a new chapter on software tools for SOM has been included whilst other chapters have been extended and reorganised.

Proceedings of COMPSTAT'2010

Proceedings of COMPSTAT'2010 PDF Author: Yves Lechevallier
Publisher: Springer Science & Business Media
ISBN: 3790826049
Category : Computers
Languages : en
Pages : 627

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Book Description
Proceedings of the 19th international symposium on computational statistics, held in Paris august 22-27, 2010.Together with 3 keynote talks, there were 14 invited sessions and more than 100 peer-reviewed contributed communications.