Pattern Recognition in Practice IV.

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (652 download)

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Book Synopsis Pattern Recognition in Practice IV. by : Edzard S. Gelsema

Download or read book Pattern Recognition in Practice IV. written by Edzard S. Gelsema and published by . This book was released on 1994 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Pattern Recognition

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Publisher :
ISBN 13 :
Total Pages : 485 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Pattern Recognition by : Bruce Batchelor

Download or read book Pattern Recognition written by Bruce Batchelor and published by . This book was released on 1982 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Pattern Recognition

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Publisher : Elsevier
ISBN 13 : 008051362X
Total Pages : 705 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Pattern Recognition by : Sergios Theodoridis

Download or read book Pattern Recognition written by Sergios Theodoridis and published by Elsevier. This book was released on 2003-05-15 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. Patter Recognition, 2e covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to "learn" -and enhances student motivation by approaching pattern recognition from the designer's point of view. A direct result of more than 10 years of teaching experience, the text was developed by the authors through use in their own classrooms. *Approaches pattern recognition from the designer's point of view *New edition highlights latest developments in this growing field, including independent components and support vector machines, not available elsewhere *Supplemented by computer examples selected from applications of interest

Fundamentals of Pattern Recognition and Machine Learning

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Publisher : Springer Nature
ISBN 13 : 3030276562
Total Pages : 357 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Fundamentals of Pattern Recognition and Machine Learning by : Ulisses Braga-Neto

Download or read book Fundamentals of Pattern Recognition and Machine Learning written by Ulisses Braga-Neto and published by Springer Nature. This book was released on 2020-09-10 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern Recognition or Machine Learning at the graduate or advanced undergraduate level. The book combines theory and practice and is suitable to the classroom and self-study. It has grown out of lecture notes and assignments that the author has developed while teaching classes on this topic for the past 13 years at Texas A&M University. The book is intended to be concise but thorough. It does not attempt an encyclopedic approach, but covers in significant detail the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as well as recent popular topics such as Gaussian process regression and convolutional neural networks. In addition, the selection of topics has a few features that are unique among comparable texts: it contains an extensive chapter on classifier error estimation, as well as sections on Bayesian classification, Bayesian error estimation, separate sampling, and rank-based classification. The book is mathematically rigorous and covers the classical theorems in the area. Nevertheless, an effort is made in the book to strike a balance between theory and practice. In particular, examples with datasets from applications in bioinformatics and materials informatics are used throughout to illustrate the theory. These datasets are available from the book website to be used in end-of-chapter coding assignments based on python and scikit-learn. All plots in the text were generated using python scripts, which are also available on the book website.

Pattern Recognition in Practice

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Publisher : North Holland
ISBN 13 :
Total Pages : 586 pages
Book Rating : 4.:/5 (45 download)

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Book Synopsis Pattern Recognition in Practice by : Edzard S. Gelsema

Download or read book Pattern Recognition in Practice written by Edzard S. Gelsema and published by North Holland. This book was released on 1980 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Pattern Recognition in Practice V

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Publisher :
ISBN 13 :
Total Pages : 354 pages
Book Rating : 4.:/5 (437 download)

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Book Synopsis Pattern Recognition in Practice V by : Edzard S. Gelsema

Download or read book Pattern Recognition in Practice V written by Edzard S. Gelsema and published by . This book was released on 1997 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Intelligence for Pattern Recognition

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Publisher : Springer
ISBN 13 : 3319896296
Total Pages : 431 pages
Book Rating : 4.3/5 (198 download)

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Book Synopsis Computational Intelligence for Pattern Recognition by : Witold Pedrycz

Download or read book Computational Intelligence for Pattern Recognition written by Witold Pedrycz and published by Springer. This book was released on 2018-04-30 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a comprehensive and up-to-date review of fuzzy pattern recognition. It carefully discusses a range of methodological and algorithmic issues, as well as implementations and case studies, and identifies the best design practices, assesses business models and practices of pattern recognition in real-world applications in industry, health care, administration, and business. Since the inception of fuzzy sets, fuzzy pattern recognition with its methodology, algorithms, and applications, has offered new insights into the principles and practice of pattern classification. Computational intelligence (CI) establishes a comprehensive framework aimed at fostering the paradigm of pattern recognition. The collection of contributions included in this book offers a representative overview of the advances in the area, with timely, in-depth and comprehensive material on the conceptually appealing and practically sound methodology and practices of CI-based pattern recognition.

Pattern Recognition in Practice

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Publisher :
ISBN 13 : 9780444861153
Total Pages : pages
Book Rating : 4.8/5 (611 download)

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Book Synopsis Pattern Recognition in Practice by :

Download or read book Pattern Recognition in Practice written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Pattern Recognition in Practice II

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Publisher : Elsevier
ISBN 13 : 0444599223
Total Pages : 589 pages
Book Rating : 4.4/5 (445 download)

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Book Synopsis Pattern Recognition in Practice II by : L.N. Kanal

Download or read book Pattern Recognition in Practice II written by L.N. Kanal and published by Elsevier. This book was released on 2012-12-02 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 1985 Amsterdam conference brought together researchers active in pattern recognition methodology and the development of practical applications. The first part of the book covers various methodological aspects of image processing, knowledge based and model driven image understanding systems, 3-D reconstruction methods, and application oriented papers. Part II deals with aspects of statistical pattern recognition, the problem of population classification, and topics common to both pattern recognition and artificial intelligence.

Pattern Recognition and Machine Learning

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Publisher : Springer
ISBN 13 : 9781493938438
Total Pages : 0 pages
Book Rating : 4.9/5 (384 download)

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Book Synopsis Pattern Recognition and Machine Learning by : Christopher M. Bishop

Download or read book Pattern Recognition and Machine Learning written by Christopher M. Bishop and published by Springer. This book was released on 2016-08-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Pattern Recognition

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Publisher : Springer Science & Business Media
ISBN 13 : 146134154X
Total Pages : 486 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Pattern Recognition by : Bruce G. Batchelor

Download or read book Pattern Recognition written by Bruce G. Batchelor and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition is a child of modern technology; electronics and computers in particular have inspired research and made it possible to develop the subject in a way which would have been impossible otherwise. It is a rapidly growing research field which began to flourish in the 1960s and which is beginning to produce commercial devices. Significant developments have been made, both in the theory and practical engineering of the subject, but there is evidence of a schism developing between these two approaches. Practical machines have usually been designed on an ad hoc basis, with little use being made of advanced theory. It is difficult to provide a rigorous mathematical treatment of many problems pertinent to a practical situation. This is due, in part at least, to a conceptual rift between theory and practice. The mathematics of optimal systems is well developed, whereas pragmatists are more concerned with vaguer ideas of reasonable and sufficient. In some situations, the quest for optimality can constrain research and retard practical progress. This can occur, for example, if too narrow a view is taken of "optimal": the accuracy of a system may be optimal whereas its speed, cost, or physical size may be grossly suboptimal. The objective of this book is to present a glimpse of the pragmatic approach to pattern recognition; there already exist a number of excellent texts describing theoretical developments.

Pattern recognition in practice. Proceedings of an International Workshop ; 3

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (258 download)

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Book Synopsis Pattern recognition in practice. Proceedings of an International Workshop ; 3 by :

Download or read book Pattern recognition in practice. Proceedings of an International Workshop ; 3 written by and published by . This book was released on 1988 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Pattern recognition in practice. Proceedings of an International Workshop ; 2

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (258 download)

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Book Synopsis Pattern recognition in practice. Proceedings of an International Workshop ; 2 by :

Download or read book Pattern recognition in practice. Proceedings of an International Workshop ; 2 written by and published by . This book was released on 1985 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Process Mining Techniques for Pattern Recognition

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Publisher : CRC Press
ISBN 13 : 100054057X
Total Pages : 181 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Process Mining Techniques for Pattern Recognition by : Vikash Yadav

Download or read book Process Mining Techniques for Pattern Recognition written by Vikash Yadav and published by CRC Press. This book was released on 2022-02-27 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the theory, practice, and concepts of process mining techniques in detail, especially pattern recognition in diverse society, science, medicine, engineering, and business. The book deliberates several perspectives on process mining techniques in the broader context of data science and big data approaches. Process Mining Techniques for Pattern Recognition: Concepts, Theory, and Practice provides an introduction to process mining techniques and pattern recognition. After that, it delivers the fundamentals of process modelling and mining essential to comprehend the book. The text emphasizes discovery as an important process mining task and includes case studies as well as real-life examples to guide users in successfully applying process mining techniques for pattern recognition in practice. Intended to be an introduction to process mining and pattern recognition for students, academics, and practitioners, this book is perfect for those who want to learn the basics, and also gain an understanding of the concepts on a deeper level.

Data Complexity in Pattern Recognition

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Publisher : Springer Science & Business Media
ISBN 13 : 1846281725
Total Pages : 309 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Data Complexity in Pattern Recognition by : Mitra Basu

Download or read book Data Complexity in Pattern Recognition written by Mitra Basu and published by Springer Science & Business Media. This book was released on 2006-12-22 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its role in shaping theory and techniques across many disciplines, probing strengths and deficiencies of current classification techniques, and the algorithms that drive them. The book offers guidance on choosing pattern recognition classification techniques, and helps the reader set expectations for classification performance.

Pattern Recognition in Practice VI

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (637 download)

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Book Synopsis Pattern Recognition in Practice VI by : Edzard S. Gelsema

Download or read book Pattern Recognition in Practice VI written by Edzard S. Gelsema and published by . This book was released on 1999 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Pattern Recognition

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 311053794X
Total Pages : 306 pages
Book Rating : 4.1/5 (15 download)

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Book Synopsis Pattern Recognition by : Jürgen Beyerer

Download or read book Pattern Recognition written by Jürgen Beyerer and published by Walter de Gruyter GmbH & Co KG. This book was released on 2017-12-04 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book offers a thorough introduction to Pattern Recognition aimed at master and advanced bachelor students of engineering and the natural sciences. Besides classification - the heart of Pattern Recognition - special emphasis is put on features, their typology, their properties and their systematic construction. Additionally, general principles that govern Pattern Recognition are illustrated and explained in a comprehensible way. Rather than presenting a complete overview over the rapidly evolving field, the book is to clarifies the concepts so that the reader can easily understand the underlying ideas and the rationale behind the methods. For this purpose, the mathematical treatment of Pattern Recognition is pushed so far that the mechanisms of action become clear and visible, but not farther. Therefore, not all derivations are driven into the last mathematical detail, as a mathematician would expect it. Ideas of proofs are presented instead of complete proofs. From the authors’ point of view, this concept allows to teach the essential ideas of Pattern Recognition with sufficient depth within a relatively lean book. Mathematical methods explained thoroughly Extremely practical approach with many examples Based on over ten years lecture at Karlsruhe Institute of Technology For students but also for practitioners