Konrad Jackowski – författare

The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 86 carefully selected articles contributed by experts of pattern recognition. It reports on current research with respect to both methodology and applications. In particular, it includes the following sections:Biometrics Data Stream Classification and Big Data Analytics Features, learning, and classifiers Image processing and computer vision Medical applications Miscellaneous applications Pattern recognition and image processing in robotics Speech and word recognitionThis book is a great reference tool for scientists who deal with the problems of designing computer pattern recognition systems. Its target readers can be the as well researchers as students of computer science, artificial intelligence or robotics.

The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 86 carefully selected articles contributed by experts of pattern recognition. It reports on current research with respect to both methodology and applications. In particular, it includes the following sections:

Biometrics Data Stream Classification and Big Data Analytics Features, learning, and classifiers Image processing and computer vision Medical applications Miscellaneous applications Pattern recognition and image processing in robotics Speech and word recognition

This book is a great reference tool for scientists who deal with the problems of designing computer pattern recognition systems. Its target readers can be the as well researchers as students of computer science, artificial intelligence or robotics.

This book constitutes the refereed proceedings of the16th International Conference on Intelligent Data Engineering and AutomatedLearning, IDEAL 2015, held in Wroclaw, Poland, in October 2015.The 64 revised full papers presented were carefullyreviewed and selected from 127 submissions. These papers provided a valuablecollection of recent research outcomes in data engineering and automatedlearning, from methodologies, frameworks, and techniques to applications. Inaddition to various topics such as evolutionary algorithms, neural networks,probabilistic modeling, swarm intelligent, multi-objective optimization, andpractical applications in regression, classification, clustering, biologicaldata processing, text processing, video analysis, IDEAL 2015 also featured anumber of special sessions on several emerging topics such as computationalintelligence for optimization of communication networks, discovering knowledgefromdata, simulation-driven DES-like modeling and performance evaluation, andintelligent applications in real-world problems.

This book constitutes the refereed proceedings of the16th International Conference on Intelligent Data Engineering and AutomatedLearning, IDEAL 2015, held in Wroclaw, Poland, in October 2015.

The 64 revised full papers presented were carefullyreviewed and selected from 127 submissions. These papers provided a valuablecollection of recent research outcomes in data engineering and automatedlearning, from methodologies, frameworks, and techniques to applications. Inaddition to various topics such as evolutionary algorithms, neural networks,probabilistic modeling, swarm intelligent, multi-objective optimization, andpractical applications in regression, classification, clustering, biologicaldata processing, text processing, video analysis, IDEAL 2015 also featured anumber of special sessions on several emerging topics such as computationalintelligence for optimization of communication networks, discovering knowledgefromdata, simulation-driven DES-like modeling and performance evaluation, andintelligent applications in real-world problems.

The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 79 carefully selected articles contributed by experts of pattern recognition. It reports on current research with respect to both methodology and applications. In particular, it includes the following sections: Features, learning, and classifiersBiometrics Data Stream Classification and Big Data Analytics Image processing and computer visionMedical applications Applications RGB-D perception: recent developments and applications This book is a great reference tool for scientists who deal with the problems of designing computer pattern recognition systems. Its target readers can be the as well researchers as students of computer science, artificial intelligence or robotics.