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Subspace Methods Of Pattern Recognition
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Book Synopsis Subspace Methods of Pattern Recognition by : Erkki Oja
Download or read book Subspace Methods of Pattern Recognition written by Erkki Oja and published by John Wiley & Sons. This book was released on 1983 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Subspace Methods for Pattern Recognition in Intelligent Environment by : Yen-Wei Chen
Download or read book Subspace Methods for Pattern Recognition in Intelligent Environment written by Yen-Wei Chen and published by . This book was released on 2014-04-30 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Subspace Methods for Pattern Recognition in Intelligent Environment by : Yen-Wei Chen
Download or read book Subspace Methods for Pattern Recognition in Intelligent Environment written by Yen-Wei Chen and published by Springer. This book was released on 2014-04-07 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Subspace Methods of Pattern Recognition by : Erkki Oja
Download or read book Subspace Methods of Pattern Recognition written by Erkki Oja and published by John Wiley & Sons. This book was released on 1983 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Special Issue Kernel & Subspace Methods for Computer Vision by : Aleš Leonardis
Download or read book Special Issue Kernel & Subspace Methods for Computer Vision written by Aleš Leonardis and published by . This book was released on 2003 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Structural, Syntactic, and Statistical Pattern Recognition by : Ana Fred
Download or read book Structural, Syntactic, and Statistical Pattern Recognition written by Ana Fred and published by Springer Science & Business Media. This book was released on 2004-07-28 with total page 1187 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Pattern Recognition Theory and Applications by : Pierre A. Devijver
Download or read book Pattern Recognition Theory and Applications written by Pierre A. Devijver and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Computer Vision by : Roberto Cipolla
Download or read book Computer Vision written by Roberto Cipolla and published by Springer Science & Business Media. This book was released on 2010-05-11 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis International Conference on Advances in Pattern Recognition by : Sameer Singh
Download or read book International Conference on Advances in Pattern Recognition written by Sameer Singh and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Structural, Syntactic, and Statistical Pattern Recognition by : Antonio Robles-Kelly
Download or read book Structural, Syntactic, and Statistical Pattern Recognition written by Antonio Robles-Kelly and published by Springer. This book was released on 2016-11-04 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Joint IAPR International Workshop on Structural Syntactic, and Statistical Pattern Recognition, S+SSPR 2016, consisting of the International Workshop on Structural and Syntactic Pattern Recognition SSPR, and the International Workshop on Statistical Techniques in Pattern Recognition, SPR. The 51 full papers presented were carefully reviewed and selected from 68 submissions. They are organized in the following topical sections: dimensionality reduction, manifold learning and embedding methods; dissimilarity representations; graph-theoretic methods; model selection, classification and clustering; semi and fully supervised learning methods; shape analysis; spatio-temporal pattern recognition; structural matching; text and document analysis.
Book Synopsis Self-Organizing Maps by : Teuvo Kohonen
Download or read book Self-Organizing Maps written by Teuvo Kohonen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Proceedings of COMPSTAT'2010 by : Yves Lechevallier
Download or read book Proceedings of COMPSTAT'2010 written by Yves Lechevallier and published by Springer Science & Business Media. This book was released on 2010-11-08 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Kernel Methods for Remote Sensing Data Analysis by : Gustau Camps-Valls
Download or read book Kernel Methods for Remote Sensing Data Analysis written by Gustau Camps-Valls and published by John Wiley & Sons. This book was released on 2009-09-03 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard approach to many remote sensing applications. With algorithms that combine statistics and geometry, kernel methods have proven successful across many different domains related to the analysis of images of the Earth acquired from airborne and satellite sensors, including natural resource control, detection and monitoring of anthropic infrastructures (e.g. urban areas), agriculture inventorying, disaster prevention and damage assessment, and anomaly and target detection. Presenting the theoretical foundations of kernel methods (KMs) relevant to the remote sensing domain, this book serves as a practical guide to the design and implementation of these methods. Five distinct parts present state-of-the-art research related to remote sensing based on the recent advances in kernel methods, analysing the related methodological and practical challenges: Part I introduces the key concepts of machine learning for remote sensing, and the theoretical and practical foundations of kernel methods. Part II explores supervised image classification including Super Vector Machines (SVMs), kernel discriminant analysis, multi-temporal image classification, target detection with kernels, and Support Vector Data Description (SVDD) algorithms for anomaly detection. Part III looks at semi-supervised classification with transductive SVM approaches for hyperspectral image classification and kernel mean data classification. Part IV examines regression and model inversion, including the concept of a kernel unmixing algorithm for hyperspectral imagery, the theory and methods for quantitative remote sensing inverse problems with kernel-based equations, kernel-based BRDF (Bidirectional Reflectance Distribution Function), and temperature retrieval KMs. Part V deals with kernel-based feature extraction and provides a review of the principles of several multivariate analysis methods and their kernel extensions. This book is aimed at engineers, scientists and researchers involved in remote sensing data processing, and also those working within machine learning and pattern recognition.
Book Synopsis Imaging, Vision and Learning Based on Optimization and PDEs by : Xue-Cheng Tai
Download or read book Imaging, Vision and Learning Based on Optimization and PDEs written by Xue-Cheng Tai and published by Springer. This book was released on 2018-11-19 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the peer-reviewed proceedings of the international conference Imaging, Vision and Learning Based on Optimization and PDEs (IVLOPDE), held in Bergen, Norway, in August/September 2016. The contributions cover state-of-the-art research on mathematical techniques for image processing, computer vision and machine learning based on optimization and partial differential equations (PDEs). It has become an established paradigm to formulate problems within image processing and computer vision as PDEs, variational problems or finite dimensional optimization problems. This compact yet expressive framework makes it possible to incorporate a range of desired properties of the solutions and to design algorithms based on well-founded mathematical theory. A growing body of research has also approached more general problems within data analysis and machine learning from the same perspective, and demonstrated the advantages over earlier, more established algorithms. This volume will appeal to all mathematicians and computer scientists interested in novel techniques and analytical results for optimization, variational models and PDEs, together with experimental results on applications ranging from early image formation to high-level image and data analysis.
Book Synopsis Computer Vision - ECCV'98 by : Hans Burkhardt
Download or read book Computer Vision - ECCV'98 written by Hans Burkhardt and published by Springer Science & Business Media. This book was released on 1998-05-26 with total page 902 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the refereed proceedings of the 5th European Conference on Computer Vision, ECCV'98, held in Freiburg, Germany, in June 1998. The 42 revised full papers and 70 revised posters presented were carefully selected from a total of 223 papers submitted. The papers are organized in sections on multiple-view geometry, stereo vision and calibration, geometry and invariances, structure from motion, colour and indexing, grouping and segmentation, tracking, condensation, matching and registration, image sequences and video, shape and shading, motion and flow, medical imaging, appearance and recognition, robotics and active vision, and motion segmentation.
Book Synopsis Similarity-Based Pattern Recognition by : Edwin Hancock
Download or read book Similarity-Based Pattern Recognition written by Edwin Hancock and published by Springer. This book was released on 2013-06-28 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Second International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD 2013, which was held in York, UK, in July 2013. The 18 papers presented were carefully reviewed and selected from 33 submissions. They cover a wide range of problems and perspectives, from supervised to unsupervised learning, from generative to discriminative models, from theoretical issues to real-world practical applications, and offer a timely picture of the state of the art in the field.
Book Synopsis A Subspace Approach to the Automatic Design of Pattern Recognition Systems for Mechanical System Monitoring by : Larry Paul Heck
Download or read book A Subspace Approach to the Automatic Design of Pattern Recognition Systems for Mechanical System Monitoring written by Larry Paul Heck and published by . This book was released on 1991 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt:
