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This book constitutes the refereed proceedings of the 12th International Workshop on Multiple Classifier Systems, MCS 2015, held in Günzburg, Germany, in June/July 2015. The 19 revised papers presented were carefully reviewed and selected from 25 submissions. The papers address issues in multiple classifier systems and ensemble methods, including pattern recognition, machine learning, neural network, data mining and statistics. They are organized in topical sections on theory and algorithms and application and evaluation.
Computer Science. --- Data Mining and Knowledge Discovery. --- Pattern Recognition. --- Image Processing and Computer Vision. --- Information Storage and Retrieval. --- Computer science. --- Data mining. --- Information storage and retrieval systems. --- Computer vision. --- Optical pattern recognition. --- Informatique --- Exploration de données (Informatique) --- Systèmes d'information --- Vision par ordinateur --- Reconnaissance optique des formes (Informatique) --- Computer Science --- Engineering & Applied Sciences --- Information storage and retrieval. --- Image processing. --- Pattern recognition. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Informatics --- Science --- Information storage and retrieva. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Pattern perception --- Perceptrons --- Visual discrimination --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Machine learning --- Ensemble learning (Machine learning) --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment --- Classifier combination (Machine learning) --- Committee-based learning (Machine learning) --- Ensemble methods (Machine learning) --- Multiple classifier systems (Machine learning) --- Distributed cognition --- Knowledge acquisition (Expert systems) --- Pattern perception.
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Machine learning --- Neural networks (Computer science) --- Pattern perception --- Apprentissage automatique --- Réseaux neuronaux (Informatique) --- Perception des structures --- Congresses --- Congrès --- Computer Science --- Engineering & Applied Sciences --- Réseaux neuronaux (Informatique) --- Congrès --- Computer science. --- Computers. --- Algorithms. --- Artificial intelligence. --- Image processing. --- Pattern recognition. --- Computer Science. --- Pattern Recognition. --- Artificial Intelligence (incl. Robotics). --- Image Processing and Computer Vision. --- Algorithm Analysis and Problem Complexity. --- Computation by Abstract Devices. --- Optical pattern recognition. --- Computer vision. --- Computer software. --- Artificial Intelligence. --- Informatics --- Science --- Software, Computer --- Computer systems --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Optical data processing --- Perceptrons --- Visual discrimination --- Ensemble learning (Machine learning) --- Optical data processing. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Cybernetics --- Calculators --- Cyberspace --- Algorism --- Algebra --- Arithmetic --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Foundations --- Optical equipment --- Classifier combination (Machine learning) --- Committee-based learning (Machine learning) --- Ensemble methods (Machine learning) --- Multiple classifier systems (Machine learning) --- Distributed cognition --- Knowledge acquisition (Expert systems) --- Pattern perception.
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Machine learning --- Neural networks (Computer science) --- Pattern perception --- Computer Science --- Engineering & Applied Sciences --- Computer science. --- Algorithms. --- Artificial intelligence. --- Image processing. --- Pattern recognition. --- Computer engineering. --- Computer Science. --- Computer Engineering. --- Artificial Intelligence (incl. Robotics). --- Pattern Recognition. --- Image Processing and Computer Vision. --- Algorithm Analysis and Problem Complexity. --- Computers --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algorism --- Algebra --- Arithmetic --- Informatics --- Science --- Design and construction --- Foundations --- Optical pattern recognition. --- Computer vision. --- Computer software. --- Artificial Intelligence. --- Software, Computer --- Computer systems --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Perceptrons --- Visual discrimination --- Ensemble learning (Machine learning) --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Optical equipment --- Classifier combination (Machine learning) --- Committee-based learning (Machine learning) --- Ensemble methods (Machine learning) --- Multiple classifier systems (Machine learning) --- Distributed cognition --- Knowledge acquisition (Expert systems) --- Pattern perception.
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Driven by the requirements of a large number of practical and commercially - portant applications, the last decade has witnessed considerable advances in p- tern recognition. Better understanding of the design issues and new paradigms, such as the Support Vector Machine, have contributed to the development of - proved methods of pattern classi cation. However, while any performance gains are welcome, and often extremely signi cant from the practical point of view, it is increasingly more challenging to reach the point of perfection as de ned by the theoretical optimality of decision making in a given decision framework. The asymptoticity of gains that can be made for a single classi er is a re?- tion of the fact that any particular design, regardless of how good it is, simply provides just one estimate of the optimal decision rule. This observation has motivated the recent interest in Multiple Classi er Systems , which aim to make use of several designs jointly to obtain a better estimate of the optimal decision boundary and thus improve the system performance. This volume contains the proceedings of the international workshop on Multiple Classi er Systems held at Robinson College, Cambridge, United Kingdom (July 2{4, 2001), which was organized to provide a forum for researchers in this subject area to exchange views and report their latest results.
Machine learning --- Neural networks (Computer science) --- Pattern perception --- Computer Science --- Engineering & Applied Sciences --- Computer science. --- Computers. --- Algorithms. --- Artificial intelligence. --- Image processing. --- Pattern recognition. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Pattern Recognition. --- Image Processing and Computer Vision. --- Computation by Abstract Devices. --- Algorithm Analysis and Problem Complexity. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algorism --- Algebra --- Arithmetic --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Informatics --- Science --- Foundations --- Optical pattern recognition. --- Computer vision. --- Computer software. --- Artificial Intelligence. --- Software, Computer --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Perceptrons --- Visual discrimination --- Optical data processing. --- Ensemble learning (Machine learning) --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment --- Classifier combination (Machine learning) --- Committee-based learning (Machine learning) --- Ensemble methods (Machine learning) --- Multiple classifier systems (Machine learning) --- Distributed cognition --- Knowledge acquisition (Expert systems) --- Pattern perception.
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This book constitutes the refereed proceedings of the 4th International Workshop on Multiple Classifier Systems, MCS 2003, held in Guildford, UK in June 2003. The 40 revised full papers presented with one invited paper were carefully reviewed and selected for presentation. The papers are organized in topical sections on boosting, combination rules, multi-class methods, fusion schemes and architectures, neural network ensembles, ensemble strategies, and applications.
Machine learning --- Neural networks (Computer science) --- Pattern perception --- Computer science. --- Computers. --- Artificial intelligence. --- Image processing. --- Pattern recognition. --- Computer industry. --- Computer Science. --- The Computer Industry. --- Pattern Recognition. --- Computation by Abstract Devices. --- Artificial Intelligence (incl. Robotics). --- Image Processing and Computer Vision. --- Electronic industries --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Informatics --- Science --- Optical pattern recognition. --- Computer vision. --- Artificial Intelligence. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Perceptrons --- Visual discrimination --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment --- Ensemble learning (Machine learning) --- Classifier combination (Machine learning) --- Committee-based learning (Machine learning) --- Ensemble methods (Machine learning) --- Multiple classifier systems (Machine learning) --- Distributed cognition --- Knowledge acquisition (Expert systems) --- Pattern perception.
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