Buch, Englisch, 972 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1475 g
Reihe: Image Processing, Computer Vision, Pattern Recognition, and Graphics
12th Iberoamerican Congress on Pattern Recognition, CIARP 2007,Valpariso, Chile, November 13-16, 2007, Proceedings
Buch, Englisch, 972 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1475 g
Reihe: Image Processing, Computer Vision, Pattern Recognition, and Graphics
ISBN: 978-3-540-76724-4
Verlag: Springer Berlin Heidelberg
This book constitutes the refereed proceedings of the 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, held in Valparaiso, Chile, November 13-16, 2007. The 97 revised full papers presented together with four keynote articles were carefully reviewed and selected from 200 submissions. The papers cover ongoing research and mathematical methods for pattern recognition, image analysis, and applications in areas such as computer vision, robotics, industry and health.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
Weitere Infos & Material
Keynote Lectures.- Signal Processing and Analysis.- Image Coding, Processing and Analysis.- Shape and Texture Analysis.- Computer Vision.- Pattern Recognition Principles.- Artificial Intelligence Techniques and Recognition.- Logical Combinatorial Pattern Recognition.- Neural Networks.- Kernel Machines.- Bioinformatics.- Data Mining.- Natural Language Processing and Recognition.- Industrial and Medical Applications of Pattern Recognition.- Robotics and Remote Sensing Applications of Pattern Recognition.- Document Processing and Recognition.- Fuzzy and Hybrid Techniques in Pattern Recognition.
