These proceedings are a record of the Multiple Classi?er Systems Workshop, MCS 2007, held at the Institute of Information Theory and Automation, Czech Academy of Sciences, Prague in May 2007. Being the seventh in a well-established series of meetings providing an international forum for the discussion of issues in multiple classi?er system design, the workshop achieved its objective of bringing together researchers from diverse communities (neural networks, pattern rec- nition, machine learning and statistics) concerned with this research topic. From more than 80 submissions, the Programme Committee selected 49 - pers to create an interesting scienti?c programme. The special focus of MCS 2007 was on the application of multiple classi?er systems in biometrics. This part- ular application area exercises all aspects of multiple classi?er fusion, from - tramodal classi?er combination, through con?dence-based fusion, to multimodal biometric systems. The sponsorship of MCS 2007 by the European Union N- work of Excellence in Biometrics BioSecure and in Multimedia Understanding through Semantics, Computation and Learning MUSCLE and their assistance in selecting the contributions to the MCS 2007 programme consistent with this theme is gratefully acknowledged.
| ISBN: | 9783540724810 |
| Publication date: | 9th May 2007 |
| Author: | Michal Haindl, Josef Kittler, Fabio Roli |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 524 pages |
| Series: | Lecture Notes in Computer Science |
| Genres: |
Pattern recognition Computer vision Mathematical theory of computation Artificial intelligence |
These proceedings are a record of the Multiple Classi?er Systems Workshop, MCS 2007, held at the Institute of Information Theory and Automation, Czech Academy of Sciences, Prague in May 2007. Being the seventh in a well-established series of meetings providing an international forum for the discussion of issues in multiple classi?er system design, the workshop achieved its objective of bringing together researchers from diverse communities (neural networks, pattern rec- nition, machine learning and statistics) concerned with this research topic. From more than 80 submissions, the Programme Committee selected 49 - pers to create an interesting scienti?c programme. The special focus of MCS 2007 was on the application of multiple classi?er systems in biometrics. This part- ular application area exercises all aspects of multiple classi?er fusion, from - tramodal classi?er combination, through con?dence-based fusion, to multimodal biometric systems. The sponsorship of MCS 2007 by the European Union N- work of Excellence in Biometrics BioSecure and in Multimedia Understanding through Semantics, Computation and Learning MUSCLE and their assistance in selecting the contributions to the MCS 2007 programme consistent with this theme is gratefully acknowledged.
Multiple Classifier Systems Image Processing, Computer Vision, Pattern Recognition, and Graphics features in the following genres: Pattern recognition, Computer vision, Mathematical theory of computation, Artificial intelligence
Multiple Classifier Systems Image Processing, Computer Vision, Pattern Recognition, and Graphics is available in Paperback
Multiple Classifier Systems Image Processing, Computer Vision, Pattern Recognition, and Graphics was written by Michal Haindl, Josef Kittler, Fabio Roli and published by Springer an imprint of Springer Berlin Heidelberg
Multiple Classifier Systems Image Processing, Computer Vision, Pattern Recognition, and Graphics has 524 pages
Yes it is part of Lecture Notes in Computer Science series