This book is concerned with a fundamentally novel approach to graph-based pattern recognition based on vector space embedding of graphs. It aims at condensing the high representational power of graphs into a computationally efficient and mathematically convenient feature vector.

This volume utilizes the dissimilarity space representation originally proposed by Duin and Pekalska to embed graphs in real vector spaces. Such an embedding gives one access to all algorithms developed in the past for feature vectors, which has been the predominant representation formalism in pattern recognition...

Presents essays on such topics as three-dimensional object representation by array grammars, stochastic puzzle grammars, parallel recognition of high dimensional images, two-dimensional uniquely parsable isometric array grammars, and replicated image algorithms and their analyses on SIMD machines.

This book presents an interactive multimodal approach for efficient transcription of handwritten text images. This approach, rather than full automation, assists the expert in the recognition and transcription process. Until now, handwritten text recognition (HTR) systems are far from being perfect and heavy human intervention is often required to check and correct the results of such systems. The interactive scenario studied in this book combines the efficiency of automatic handwriting recognition systems with the accuracy of the experts, leading to a cost-effective perfect transcription of...

The book is intended as a handbook for professionals and researchers in the areas of Physical Oceanography, Ocean and Coastal Engineering and as a text for graduate students in these fields. The book presents a comprehensive study on surface ocean waves induced by wind, including basic mathematical principles, physical description of the observed phenomena, practical forecasting techniques of various wave parameters and application in ocean and coastal engineering, all from the stochastic point of view. The book commences with a description of mechanisms of surface wave generation by wind and...

Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced.This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition. In this new...

An account, from first principles, of the methods of numerical quantum mechanics. Coverage encompasses formulations and fundamental postulates; the Hamiltonian and angular momentum operators; and approximation of the solutions of the Schroedinger equation with variation and perturbation methods.

This volume puts together several lectures on the Hamilton Systems and celestial mechanics to form a collection of works on the subject. Their relationship to several aspects of topology, mechanics and dynamical systems in general are also emphasized.

This text on computational intelligence presents the integration of expert systems, neural networks, fuzzy systems, genetic algorithms and chaos engineering. It shows that these techniques enhance the capabilities of one another.

This text is the result of a special workshop on spatial computing. The common theme of the workshop was the need to integrate human perception and domain knowledge with developing representations and solutions to problems which necessarily involve the interpretation of sensed data.