Mustererkennung 1990
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Mustererkennung 1990
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Author : Rudolf E. Großkopf
language : de
Publisher: Springer-Verlag
Release Date : 2013-03-09
Mustererkennung 1990 written by Rudolf E. Großkopf and has been published by Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Computers categories.
Der Tagungsband gibt einen Überblick über den gegenwärtigen Stand der Forschung auf dem Gebiete der Mustererkennung vorwiegend im deutschsprachigen Raum. Er ist gegliedert in - Sensorgestaltung für Zwecke der Mustererkennung - Wissen, neuronale Netze - Spracherkennung, Sprachverstehen - Grundlagen der Mustererkennung - Signalverarbeitung und Mustererkennung angepaßt an gegebene Sensoreigenschaften - spezielle Hardwarearchitekturen - Softwarewerkzeuge und Umgebungen - medizinische Anwendungen - industrielle Anwendungen - Bildfolgen, Mehrfachbilder, Computervision. Die Autoren der einzelnen Beiträge haben die relevanten Ergebnisse in Diagrammen und Bildern dargestellt.
Mustererkennung 1990
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Author : Rudolf E. Großkopf
language : de
Publisher:
Release Date : 1990
Mustererkennung 1990 written by Rudolf E. Großkopf and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Image processing categories.
Mustererkennung 1991
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Author : Bernd Radig
language : de
Publisher: Springer-Verlag
Release Date : 2013-07-02
Mustererkennung 1991 written by Bernd Radig and has been published by Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-02 with Computers categories.
Das Arbeitsgebiet der Mustererkennung ist dargestellt in den Manuskripten zweier eingeladener Vortr{ge, siebenundvierzig Beitr{gen zum Vortragsprogramm und drei~ig zur Plakatausstellung. Es ist gegliedert in - Anwendungen Neuronaler Netze - Wissensrepr{sentation f}r Sprach- und Bildverstehen - Grundlagen der Mustererkennung: Statistisches Verfahren, Filter - Erkennung gesprochener Sprache - Anwendungen - Mustererkennung durch Neuronale Netze - Bildfolgen - 3-D-Verarbeitung Der Tagungsband gibt einen]berblick und einen in die Tiefe gehenden Einblick in den gegenw{rtigen Stand der Forschung auf demGebiet der Mustererkennung im vorwiegend deutschsprachigen Raum. Die Autorender einzelnen Beitr{ge haben relevante Ergebnisse in Diagrammen und Bildern dargestellt.
Pattern Recognition
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Author : Konstantinos Koutroumbas
language : en
Publisher: Academic Press
Release Date : 2008-11-26
Pattern Recognition written by Konstantinos Koutroumbas and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-26 with Mathematics categories.
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
Thinning Methodologies For Pattern Recognition
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Author : Ching Y. Suen
language : en
Publisher: World Scientific
Release Date : 1994
Thinning Methodologies For Pattern Recognition written by Ching Y. Suen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Science categories.
Thinning is a technique widely used in the pre-processing stage of a pattern recognition system to compress data and to enhance feature extraction in the subsequent stage. It reduces a digitized pattern to a skeleton so that all resulting branches are 1 pixel thick. The method seems easy at first and has many advantages, however after two decades of intensive research, it has been found to be very challenging due to the difficulties in programming computers to do it.This collection of 15 papers by leading scientists working in the area examines the theoretical and experimental aspects of thinning methodologies. The authors have addressed the problems faced, compared their performance results with others, and assessed the challenges ahead. Researchers will find the volume helpful in shedding light on difficult issues and stimulating further research in the area.
Mustererkennung 1998
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Author : Paul Levi
language : de
Publisher: Springer-Verlag
Release Date : 2013-03-12
Mustererkennung 1998 written by Paul Levi and has been published by Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-12 with Computers categories.
Von den Grundlagen und Algorithmen über Klassifikation und Neuronale Netze bis zu 3D-Geometrien sowie Sprach- und Bildverstehen gibt dieses Werk einen aktuellen Überblick über den Stand der Forschung in Theorie und Anwendungen.
Mustererkennung 1990
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Author :
language : de
Publisher:
Release Date : 1990
Mustererkennung 1990 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with categories.
Introduction To Pattern Recognition
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Author : Sergios Theodoridis
language : en
Publisher: Academic Press
Release Date : 2010-03-03
Introduction To Pattern Recognition written by Sergios Theodoridis and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-03 with Computers categories.
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)
Computer Analysis Of Images And Patterns
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Author : Gerald Sommer
language : en
Publisher: Springer Science & Business Media
Release Date : 1997-08-27
Computer Analysis Of Images And Patterns written by Gerald Sommer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-08-27 with Technology & Engineering categories.
This book constitutes the refereed proceedings of the 7th International Conference on Computer Analysis of Images and Patterns, CAIP '97, held in Kiel, Germany, in September 1997. The volume presents 92 revised papers selected during a double-blind reviewing process from a total of 150 high-quality submissions. The papers are organized in topical sections on pattern analysis, object recognition and tracking, invariants, applications, shape, texture analysis, motion calibration, low-level processing, structure from motion, stereo and correspondence, segmentation and grouping, mathematical morphology, pose estimation, and face analysis.
Informationssysteme Und K Nstliche Intelligenz Modellierung
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Author : Rudi Studer
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Informationssysteme Und K Nstliche Intelligenz Modellierung written by Rudi Studer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Neuere Entwicklungen im Datenbank- und Informationssystembereich sind u.a. gekennzeichnet durch die Bereitstellung sehr m{chtiger semantischer bzw. objektorientierter Datenmodelle, um den Anforderungen aus sogenannten Nicht-Standardanwendungen wie z.B. dem B}robereich gerecht zu werden. Daraus ergeben sich unmittelbar neue Problemstellungen imHinblick auf die Entwurfs- und Modellierungsaufgaben, die mit dem Einsatz derartiger m{chtiger Datenmodelle verbunden sind. Betrachtet manandererseits Entwicklungstendenzen im Bereich der K}nstlichen Intelligenz, so wird Fragen der systematischen Entwicklung Wissensbasierter Systeme eine immer gr|~ere Wichtigkeit beigemessen. Dabei spielen u.a. Phasen-Systeme und damit verbunden der Aufbau geeigneter Modelle eine zentrale Rolle. Dementsprechend hat der 2. Workshop "Informationssysteme und K}nstliche Intelligenz" gerade das Gebiet der Modellierung als generelles Thema. Zielsetzung ist dabei, auf dem Gebiet derModellierung Gemeinsamkeiten und Unterschiede von Problemstellungen bzw. L|sungsans{tzen, die in den Fachdisziplinen K}nstliche Intelligenz und Informationssysteme/Datenbanksysteme identifiziert bzw. entwickelt worden sind, herauszuarbeiten. Damit soll gleichzeitig der Gedankenaustausch zwischen den beteiligten Fachdisziplinen gef|rdertund die Zusammenarbeit }ber Fachdisziplinen hinweg verbessert werden.