Introduction to Pattern Recognition

A Matlab Approach
Author: Sergios Theodoridis,Aggelos Pikrakis,Konstantinos Koutroumbas,Dionisis Cavouras
Publisher: Academic Press
ISBN: 9780080922751
Category: Computers
Page: 231
View: 9889

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Introduction to Pattern Recognition: A Matlab Approach is an accompanying manual to Theodoridis/Koutroumbas' Pattern Recognition. It includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition. This text is designed for electronic engineering, computer science, computer engineering, biomedical engineering and applied mathematics students taking graduate courses on pattern recognition and machine learning as well as R&D engineers and university researchers in image and signal processing/analyisis, and computer vision. Matlab code and descriptive summary of the most common methods and algorithms in Theodoridis/Koutroumbas, Pattern Recognition, Fourth Edition Solved examples in Matlab, including real-life data sets in imaging and audio recognition Available separately or at a special package price with the main text (ISBN for package: 978-0-12-374491-3)

Handbook of Pattern Recognition and Computer Vision (5th Edition)


Author: Chi-hau Chen
Publisher: World Scientific
ISBN: 9814656534
Category: Computers
Page: 584
View: 6960

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The book provides an up-to-date and authoritative treatment of pattern recognition and computer vision, with chapters written by leaders in the field. On the basic methods in pattern recognition and computer vision, topics range from statistical pattern recognition to array grammars to projective geometry to skeletonization, and shape and texture measures. Recognition applications include character recognition and document analysis, detection of digital mammograms, remote sensing image fusion, and analysis of functional magnetic resonance imaging data, etc.

Mustererkennung im Mittelspiel

Schärfen Sie Ihren Blick für Schlüsselzüge im Schach
Author: International Master Arthur van de Oudeweetering
Publisher: New In Chess
ISBN: 9056916165
Category: Games
Page: 304
View: 8256

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Die Mustererkennung ist eines der wichtigsten Werkzeuge bei der Verbesserung im Schach. Die Erkenntnis, dass die Stellung auf dem Brett Ähnlichkeiten mit etwas hat, was man bereits gesehen hat, erleichtert Ihnen, rasch den Gehalt der Stellung zu erfassen und die vielversprechendste Fortsetzung zu finden. Mustererkennung im Mittelspiel versorgt Sie mit einem reichhaltigen Schatz an wichtigen und doch leicht einzuprägenden Bausteinen für Ihr Schachwissen. In 40 kurzen, scharf umrissenen Kapiteln präsentiert der erfahrene Schachtrainer Arthur van de Oudeweetering hunderte Beispiele zu verblüffenden Mittelspielthemen. Um Ihr Verständnis zu testen, gibt es zu jedem Abschnitt Aufgaben. Nach der Arbeit mit diesem Buch wird sich Ihr Schachwissen ganz wie von selbst um die Kenntnis zahlreicher Stellungstypen, Bauernstrukturen und Figurenkonstellationen vermehrt haben. Im Ergebnis werden Sie den richtigen Zug häufiger und auch rascher finden!

Machine Learning and Data Mining in Pattern Recognition

4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005, Proceedings
Author: Petra Perner,Atsushi Imiya
Publisher: Springer Science & Business Media
ISBN: 3540269231
Category: Computers
Page: 698
View: 1837

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We met again in front of the statue of Gottfried Wilhelm von Leibniz in the city of Leipzig. Leibniz, a famous son of Leipzig, planned automatic logical inference using symbolic computation, aimed to collate all human knowledge. Today, artificial intelligence deals with large amounts of data and knowledge and finds new information using machine learning and data mining. Machine learning and data mining are irreplaceable subjects and tools for the theory of pattern recognition and in applications of pattern recognition such as bioinformatics and data retrieval. This was the fourth edition of MLDM in Pattern Recognition which is the main event of Technical Committee 17 of the International Association for Pattern Recognition; it started out as a workshop and continued as a conference in 2003. Today, there are many international meetings which are titled “machine learning” and “data mining”, whose topics are text mining, knowledge discovery, and applications. This meeting from the first focused on aspects of machine learning and data mining in pattern recognition problems. We planned to reorganize classical and well-established pattern recognition paradigms from the viewpoints of machine learning and data mining. Though it was a challenging program in the late 1990s, the idea has inspired new starting points in pattern recognition and effects in other areas such as cognitive computer vision.

Pattern Recognition


Author: Sergios Theodoridis,Konstantinos Koutroumbas
Publisher: Academic Press
ISBN: 9780080949123
Category: Computers
Page: 984
View: 9875

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This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, and relevance feedback. · Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques · Many more diagrams included--now in two color--to provide greater insight through visual presentation · Matlab code of the most common methods are given at the end of each chapter. · More Matlab code is available, together with an accompanying manual, via this site · Latest hot topics included to further the reference value of the text including non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, combining clustering algorithms. · An accompanying book with Matlab code of the most common methods and algorithms in the book, together with a descriptive summary, and solved examples including real-life data sets in imaging, and audio recognition. The companion book will be available separately or at a special packaged price (ISBN: 9780123744869). Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques Many more diagrams included--now in two color--to provide greater insight through visual presentation Matlab code of the most common methods are given at the end of each chapter An accompanying book with Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition. The companion book is available separately or at a special packaged price (Book ISBN: 9780123744869. Package ISBN: 9780123744913) Latest hot topics included to further the reference value of the text including non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, combining clustering algorithms Solutions manual, powerpoint slides, and additional resources are available to faculty using the text for their course. Register at www.textbooks.elsevier.com and search on "Theodoridis" to access resources for instructor.

Applied Pattern Recognition

Algorithms and Implementation in C++
Author: Dietrich Paulus,Joachim Hornegger
Publisher: Springer Science & Business Media
ISBN: 9783528355586
Category: Technology & Engineering
Page: 372
View: 3081

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This book demonstrates the efficiency of the C++ programming language in the realm of pattern recognition and pattern analysis. For this 4th edition, new features of the C++ language were integrated and their relevance for image and speech processing is discussed.

Maschinelles Lernen


Author: Ethem Alpaydın
Publisher: Oldenbourg Verlag
ISBN: 9783486581140
Category:
Page: 440
View: 6086

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Unter maschinellem Lernen versteht man die kunstliche Generierung von Wissen aus Erfahrung. Das vorliegende Buch diskutiert Methoden aus den Bereichen Statistik, Mustererkennung etc. und versucht, die unterschiedlichen Ansatze zu kombinieren, um moglichst effiziente Losungen zu finden."

Entwurfsmuster

Elemente wiederverwendbarer objektorientierter Software
Author: Erich Gamma,Ralph Johnson,Richard Helm,John Vlissides
Publisher: Pearson Deutschland GmbH
ISBN: 9783827330437
Category: Agile software development
Page: 479
View: 1419

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Data mining

praktische Werkzeuge und Techniken für das maschinelle Lernen
Author: Ian H. Witten,Eibe Frank
Publisher: N.A
ISBN: 9783446215337
Category:
Page: 386
View: 9979

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Graph Based Representations in Pattern Recognition

4th IAPR International Workshop, GbRPR 2003, York, UK, June 30 - July 2, 2003. Proceedings
Author: Edwin Hancock,Mario Vento,England) Gbrpr 200 (2003 York
Publisher: Springer Science & Business Media
ISBN: 354040452X
Category: Computers
Page: 270
View: 4517

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This volume contains the papers presented at the Fourth IAPR Workshop on Graph Based Representations in Pattern Recognition. The workshop was held at the King’s Manor in York, England between 30 June and 2nd July 2003. The previous workshops in the series were held in Lyon, France (1997), Haindorf, Austria (1999), and Ischia, Italy (2001). The city of York provided an interesting venue for the meeting. It has been said that the history of York is the history of England. There have been both Roman and Viking episodes. For instance, Constantine was proclaimed emperor in York. The city has also been a major seat of ecclesiastical power and was also involved in the development of the railways in the nineteenth century. Much of York’s history is evidenced by its buildings, and the King’s Manor is one of the most important and attractive of these. Originally part of the Abbey, after the dissolution of the monasteries by Henry VIII, the building became a center of government for the Tudors and the Stuarts (who stayed here regularly on their journeys between London and Edinburgh), serving as the headquarters of the Council of the North until it was disbanded in 1561. The building became part of the University of York at its foundation in 1963. The papers in the workshop span the topics of representation, segmentation, graph-matching, graph edit-distance, matrix and spectral methods, and gra- clustering.

Energy Minimization Methods in Computer Vision and Pattern Recognition

4th International Workshop, EMMCVPR 2003, Lisbon, Portugal, July 7-9, 2003, Proceedings
Author: Anand Rangarajan,Mário A. T. Figueiredo,Josiane Zerubia
Publisher: Springer
ISBN: 3540450637
Category: Computers
Page: 534
View: 9075

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This book constitutes the refereed proceedings of the 4th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2003, held in Lisbon, Portugal in July 2003.The 33 revised full papers presented were carefully reviewed and selected from 66 submissions. The papers are organized in topical sections on unsupervised learning and matching, probabilistic modeling, segmentation and grouping, shape modeling, restoration and reconstruction, and graphs and graph-based methods.

Pattern Recognition in Bioinformatics

4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009, Proceedings
Author: Visakan Kadirkamanathan,Guido Sanguinetti,Mark Girolami,Mahesan Niranjan,Josselin Noirel
Publisher: Springer
ISBN: 3642040314
Category: Science
Page: 452
View: 3257

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This book constitutes the refereed proceedings of the Fourth International Workshop on Pattern Recognition in Bioinformatics, PRIB 2009, held in Sheffield, UK, in September 2009. The 38 revised full papers presented were carefully reviewed and selected from numerous submissions. The topics covered by these papers range from image analysis for biomedical data to systems biology. The conference aims at crating a focus for the development and application of pattern recognition techniques in the biological domain.

Artificial Neural Networks in Pattern Recognition

4th IAPR TC3 Workshop, ANNPR 2010, Cairo, Egypt, April 11-13, 2010, Proceedings
Author: Friedhelm Schwenker,Neamat El Gayar
Publisher: Springer
ISBN: 3642121594
Category: Computers
Page: 280
View: 8938

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Artificial Neural Networks in Pattern Recognition synthesizes the proceedings of the 4th IAPR TC3 Workshop, ANNPR 2010. Topics include supervised and unsupervised learning, feature selection, pattern recognition in signal and image processing.

Chirurgie der Kleintiere


Author: Theresa Welch Fossum
Publisher: Elsevier,Urban&FischerVerlag
ISBN: 3437597582
Category: Medical
Page: 1656
View: 1368

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Unentbehrlich für den chirurgischen Alltag! Ob zum Nachschlagen oder zum schnellen Abklären aktueller Probleme - "Fossum" lässt keine Fragen offen. Über 1.500 farbige Abbildungen verdeutlichen die Inhalte. Neu in der 2. Auflage • Neue Kapitel: physikalische Therapie, minimalinvasive Verfahren, Operationen des Auges • Deutlich erweitert:Perioperative multimodale Schmerztherapie, Arthroskopie, Ellenbogendysplasie beim Hund, Gelenkersatz und die Behandlung von Osteoarthritis • Mehr über die neuesten bildgebenden Verfahren

Pattern Recognition

An Algorithmic Approach
Author: M. Narasimha Murty,V. Susheela Devi
Publisher: Springer Science & Business Media
ISBN: 9780857294951
Category: Computers
Page: 263
View: 4169

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Observing the environment and recognising patterns for the purpose of decision making is fundamental to human nature. This book deals with the scientific discipline that enables similar perception in machines through pattern recognition (PR), which has application in diverse technology areas. This book is an exposition of principal topics in PR using an algorithmic approach. It provides a thorough introduction to the concepts of PR and a systematic account of the major topics in PR besides reviewing the vast progress made in the field in recent times. It includes basic techniques of PR, neural networks, support vector machines and decision trees. While theoretical aspects have been given due coverage, the emphasis is more on the practical. The book is replete with examples and illustrations and includes chapter-end exercises. It is designed to meet the needs of senior undergraduate and postgraduate students of computer science and allied disciplines.

NEURAL NETWORKS AND PATTERN RECOGNITION. Edition en anglais


Author: Omid Omidvar,Judith E. Dayhoff
Publisher: Academic Press
ISBN: 9780125264204
Category: Computers
Page: 351
View: 4775

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Pulse-coupled neural networks; A neural network model for optical flow computation; Temporal pattern matching using an artificial neural network; Patterns of dynamic activity and timing in neural network processing; A macroscopic model of oscillation in ensembles of inhibitory and excitatory neurons; Finite state machines and recurrent neural networks: automata and dynamical systems approaches; biased random-waldk learning; a neurobiological correlate to trial-and-error; Using SONNET 1 to segment continuous sequences of items; On the use of high-level petri nets in the modeling of biological neural networks; Locally recurrent networks: the gmma operator, properties, and extensions.

Pattern Recognition Neuroradiology


Author: Neil M. Borden,Scott E. Forseen
Publisher: Cambridge University Press
ISBN: 1139502247
Category: Medical
Page: N.A
View: 9096

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Faced with a single neuroradiological image of an unknown patient, how confident would you be to make a differential diagnosis? Despite advanced imaging techniques, a confident diagnosis also requires knowledge of the patient's age, clinical data and the lesion location. Pattern Recognition Neuroradiology provides the tools you will need to arrive at the correct diagnosis or a reasonable differential diagnosis. This user-friendly book includes basic information often omitted from other texts: a practical method of image analysis, sample dictation templates and didactic information regarding lesions/diseases in a concise outline form. Image galleries show more than 700 high quality representative examples of the diseases discussed. Whether you are a trainee encountering some of these conditions for the first time or a resident trying to develop a reliable system of image analysis, Pattern Recognition Neuroradiology is an invaluable diagnostic resource.