Interest in the automatic processing and analysis of document images has been rapidly increasing during the past few years. This book consists of 14 revised and expanded contributions that were originally presented at the IAPR workshop on Structural and Syntatic Pattern Recognition, held in Bern, Switzerland, in 1992. It addresses the different subfields of document image analysis, including preprocessing and segmentation, form processing, handwriting recognition, line drawing and map processing, and contextual processing.
Interest in the automatic processing and analysis of document images has been rapidly increasing during the past few years. This book consists of 14 r...
This edited and reviewed volume consists of papers that were originally presented at a workshop in the Scientific Center at Schloss Dagstuhl, Germany. It gives an overview of the field and presents the latest developments in the areas of modelling and planning for sensor based robots. The particular topics addressed include active vision, sensor fusion, environment modelling, motion planning, robot navigation, distributed control architectures, reactive behaviour, and others. Key contributors to this volume are: S. Arimoto, R. Bolles, H. Bunke, H. Christensen, R. Dillmann, T. Henderson, R....
This edited and reviewed volume consists of papers that were originally presented at a workshop in the Scientific Center at Schloss Dagstuhl, Germany....
Hidden Markov models (HMMs) originally emerged in the domain of speech recognition. In recent years, they have attracted growing interest in the area of computer vision as well. This book is a collection of articles on new developments in the theory of HMMs and their application in computer vision. It addresses topics such as handwriting recognition, shape recognition, face and gesture recognition, tracking and image database retrieval.
Hidden Markov models (HMMs) originally emerged in the domain of speech recognition. In recent years, they have attracted growing interest in the area ...
- Coverage of novel methods for software testing and software quality assurance - Introduction to state-of-the-art data mining models and techniques - Analyses of new and promising application domains of artificial intelligence and data mining in software quality engineering - Contributions from leading authors in the fields of software engineering and data mining.
- Coverage of novel methods for software testing and software quality assurance - Introduction to state-of-the-art data mining models and technique...
This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, such as vectors. Through the use of graph distance -- a relatively new approach for determining graph similarity -- the authors show how well-known algorithms, such as k-means clustering and k-nearest neighbors classification, can be easily extended to work with graphs instead of vectors. This allows for the utilization of additional information found...
This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can ...
A sharp increase in the computing power of modern computers has triggered the development of powerful algorithms that can analyze complex patterns in large amounts of data within a short time period. Consequently, it has become possible to apply pattern recognition techniques to new tasks. The main goal of this book is to cover some of the latest application domains of pattern recognition while presenting novel techniques that have been developed or customized in those domains.
A sharp increase in the computing power of modern computers has triggered the development of powerful algorithms that can analyze complex patterns ...
Dieses Buch bietet eine systematische Einfuhrung in dieses neue Arbeitsfeld der automatischen Bildanalyse. Es behandelt samtliche wichtigen Teilaspekte, beginnend mit der Gewinnung von Tiefenbildern durch passive und aktive Verfahren uber die Extraktion charakteristischer Flachenmerkmale und die Segmentierung bis hin zur modellbasierten Objekterkennung. Daneben werden konkrete Anwendungen der Tiefenbildanalyse vorgestellt. Die Didaktik des Buches erlaubt es Forschern und Praktikern, sich selbstandig in dieses Gebiet einzuarbeiten. Das teilweise schwer zugangliche Material wurde in...
Dieses Buch bietet eine systematische Einfuhrung in dieses neue Arbeitsfeld der automatischen Bildanalyse. Es behandelt samtliche wichtigen Teilaspekt...
This book is a collection of scientific papers published during the last five years, showing a broad spectrum of actual research topics and techniques used to solve challenging problems in the areas of computer vision and image analysis. The book will appeal to researchers, technicians and graduate students.
This book is a collection of scientific papers published during the last five years, showing a broad spectrum of actual research topics and techniques...
This book constitutes the refereed proceedings of the 7th International Conference on Document Analysis Systems, DAS 2006, held in Nelson, New Zealand, in February 2006. The 33 revised full papers and 22 poster papers presented were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on digital libraries, image processing, handwriting, document structure and format, tables, language and script identification, systems and performance evaluation, and retrieval and segmentation.
This book constitutes the refereed proceedings of the 7th International Conference on Document Analysis Systems, DAS 2006, held in Nelson, New Zeal...
Graph theory has strong historical roots in mathematics, especially in topology. Its birth is usually associated with the "four-color problem" posed by Francis Guthrie 1 in 1852, but its real origin probably goes back to the Seven Bridges of Konigsber ] g 2 problem proved by Leonhard Euler in 1736. A computational solution to these two completely different problems could be found after each problem was abstracted to the level of a graph model while ignoring such irrelevant details as country shapes or cross-river distances. In general, a graph is a nonempty set of points (vertices) and the...
Graph theory has strong historical roots in mathematics, especially in topology. Its birth is usually associated with the "four-color problem" posed b...
