A study of texture analysis in machine vision. It contains extended and revised versions of papers presented at a workshop held at the University of Oulu, Finland, in 1999. The first part of the book deals with texture analysis methodology, while the second covers various applications.
A study of texture analysis in machine vision. It contains extended and revised versions of papers presented at a workshop held at the University of O...
The main aim of this study is to present a sample of research on the application of novel artificial intelligence paradigms to the diagnosis and prognosis of breast cancer. These paradigms include neural networks, fuzzy logic and evolutionary computing. Artificial intelligence techniques offer advantages - such as adaptation, fault tolerance, learning and human-like behaviour - over conventional computing techniques. The idea is to combine the pathological, intelligent and statistical approaches to enable simple and accurate diagnosis and prognosis. The book contains contributions from...
The main aim of this study is to present a sample of research on the application of novel artificial intelligence paradigms to the diagnosis and progn...
Neural networks and fuzzy techniques are among the most promising approaches to pattern recognition. Neuro-fuzzy systems aim at combining the advantages of the two paradigms. This book is a collection of papers describing state-of-the-art work in this emerging field. It covers topics such as feature selection, classification, classifier training, and clustering. Also included are applications of neuro-fuzzy systems in speech recognition, land mine detection, medical image analysis, and autonomous vehicle control. The intended audience includes graduate students in computer science and related...
Neural networks and fuzzy techniques are among the most promising approaches to pattern recognition. Neuro-fuzzy systems aim at combining the advantag...
Agent engineering concerns the development of autonomous computational or physical entities capable of perceiving, reasoning, adapting, learning, cooperating and delegating in a dynamic environment. It is one of the most promising areas of research and development in information technology, computer science and engineering. This book addresses some of the key issues in agent engineering: what is meant by "autonomous agents"?; how can we build agents with autonomy?; what are the desirable capabilities of agents with respect to surviving (they will not die) and living (they will furthermore...
Agent engineering concerns the development of autonomous computational or physical entities capable of perceiving, reasoning, adapting, learning, coop...
A study of multispectral image processing and pattern recognition. It covers: geometric and orthogonal moments; minimum description length method for facet matching; an integrated vision system for ALV navigation; fuzzy Bayesian networks; and more.
A study of multispectral image processing and pattern recognition. It covers: geometric and orthogonal moments; minimum description length method for ...
The use of pattern recognition has become more and more important in seismic oil exploration. Interpreting a large volume of seismic data is a challenging problem. Seismic reflection data in the one-shot seismogram and stacked seismogram may contain some structural information from the response of the subsurface. Syntactic/structural pattern recognition techniques can recognize the structural seismic patterns and improve seismic interpretations. The syntactic analysis methods include: (1) the error-correcting finite-state parsing; (2) the modified error-correcting Earley's parsing; (3) the...
The use of pattern recognition has become more and more important in seismic oil exploration. Interpreting a large volume of seismic data is a challen...
The field of pattern recognition has seen enormous progress since its beginnings almost 50 years ago. A large number of different approaches have been proposed. Hybrid methods aim at combining the advantages of different paradigms within a single system.
Hybrid Methods in Pattern Recognition is a collection of articles describing recent progress in this emerging field. It covers topics such as the combination of neural nets with fuzzy systems or hidden Markov models, neural networks for the processing of symbolic data structures, hybrid methods in data mining, the combination of symbolic...
The field of pattern recognition has seen enormous progress since its beginnings almost 50 years ago. A large number of different approaches have been...
- The book completely introduces the intelligent Web techniques based on soft computing, granular computing, computational intelligence, and Web technology for different intelligent Web applications - The first book to introduce the novel intelligent Web theory (computational Web intelligence) with many potential intelligent Web applications - The book introduces CWI techniques for currently hot and important applications such as Web security, Internet security, bioinformatics, Web search engines, Web mining, e-commerce, intelligent Web agents, etc.
- The book completely introduces the intelligent Web techniques based on soft computing, granular computing, computational intelligence, and Web techn...
- 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...
