Buch, Englisch, Band 2714, 1194 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1857 g
Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26¿29, 2003, Proceedings
Buch, Englisch, Band 2714, 1194 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1857 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-540-40408-8
Verlag: Springer Berlin Heidelberg
This book constitutes the refereed proceedings of the joint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP 2003, held in Istanbul, Turkey, in June 2003.
The 138 revised full papers were carefully reviewed and selected from 346 submissions. The papers are organized in topical sections on learning algorithms, support vector machine and kernel methods, statistical data analysis, pattern recognition, vision, speech recognition, robotics and control, signal processing, time-series prediction, intelligent systems, neural network hardware, cognitive science, computational neuroscience, context aware systems, complex-valued neural networks, emotion recognition, and applications in bioinformatics.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Technische Informatik Hochleistungsrechnen, Supercomputer
- Mathematik | Informatik EDV | Informatik Technische Informatik Systemverwaltung & Management
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Internet, E-Mail, VoIP
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Zeichen- und Zahlendarstellungen
- Sozialwissenschaften Medien- und Kommunikationswissenschaften Kommunikationswissenschaften Digitale Medien, Internet, Telekommunikation
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
- Mathematik | Informatik EDV | Informatik Informatik Logik, formale Sprachen, Automaten
Weitere Infos & Material
Learning Algorithms.- SVM and Kernel Methods.- Statistical Data Analysis.- Pattern Recognition.- Vision.- Speech Recognition.- Robotics and Control.- Signal Processing.- Time-Series Prediction.- Intelligent and Hybrid Systems.- Neural Network Hardware.- Cognitive Science.- Computational Neuroscience.- Special Sessions.- Complex-Valued Neural Networks: Theories and Applications.- Computational Intelligence and Applications.- Emotional Recognition.- Neural Networks for Bio-informatics Applications.
