| Multiple Classifier Systems 2009 Edition Contributor(s): Benediktsson, Jón Atli (Editor), Kittler, Josef (Editor), Roli, Fabio (Editor) |
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ISBN: 3642023258 ISBN-13: 9783642023255 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: June 2009 Annotation: This book constitutes the refereed proceedings of the 8th International Workshop on Multiple Classifier Systems, MCS 2009, held in Reykjavik, Iceland, in June 2009. The 52 revised full papers presented together with 2 invited papers were carefully reviewed and selected from more than 70 initial submissions. The papers are organized in topical sections on ECOC boosting and bagging, MCS in remote sensing, unbalanced data and decision templates, stacked generalization and active learning, concept drift, missing values and random forest, SVM ensembles, fusion of graphics, concepts and categorical data, clustering, and finally theory, methods and applications of MCS. |
| Additional Information |
| BISAC Categories: - Computers | Computer Vision & Pattern Recognition - Computers | Computer Science - Computers | Image Processing |
| Dewey: 004 |
| Series: Lecture Notes in Computer Science |
| Physical Information: 1.3" H x 6.1" W x 9.4" (1.80 lbs) 540 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: These proceedings are a record of the Multiple Classi?er Systems Workshop, MCS 2009, held at the University of Iceland, Reykjavik, Iceland in June 2009. Being the eighth in a well-established series of meetings providing an inter- tional 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 recognition, machine learning and stat- tics) concerned with this research topic. From more than 70 submissions, the Program Committee selected 54 papers to create an interesting scienti?c program. The special focus of MCS 2009 was on the application of multiple classi?er systems in remote sensing. This part- ular application uses multiple classi?ers for raw data fusion, feature level fusion and decision level fusion. In addition to the excellent regular submission in the technical program, outstanding contributions were made by invited speakers Melba Crawford from Purdue University and Zhi-Hua Zhou of Nanjing Univ- sity. Papers of these talks are included in these workshop proceedings. With the workshop'sapplicationfocusbeingonremotesensing, Prof.Crawford'sexpertise in the use of multiple classi?cation systems in this context made the discussions on this topic at MCS 2009 particularly fruitful. |