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» Combining Methods for Dynamic Multiple Classifier Systems
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SIGIR
1995
ACM
15 years 4 months ago
Combining Multiple Evidence from Different Properties of Weighting Schemes
It has been known that using different representations of either queries or documents, or different retrieval techniques retrieves different sets of documents. Recent work suggest...
Joon Ho Lee
91
Voted
ACCV
2007
Springer
15 years 6 months ago
Combined Object Detection and Segmentation by Using Space-Time Patches
This paper presents a method for classifying the direction of movement and for segmenting objects simultaneously using features of space-time patches. Our approach uses vector quan...
Yasuhiro Murai, Hironobu Fujiyoshi, Takeo Kanade
ISBI
2004
IEEE
16 years 1 months ago
Performance-Based Multi-Classifier Decision Fusion for Atlas-Based Segmentation of Biomedical Images
Combinations of multiple classifiers have been found to be consistently more accurate than a single classifier. The construction of multiple independent classifiers, however, is t...
Torsten Rohlfing, Daniel B. Russakoff, Calvin R. M...
CLEF
2010
Springer
15 years 1 months ago
Combination of Classifiers for Indoor Room Recognition CGS participation at ImageCLEF2010 Robot Vision Task
This paper represents a description of our approach to the problem of topological localization of a mobile robot using visual information. Our method has been developed for ImageCL...
Walter Lucetti, Emanuel Luchetti
ML
2010
ACM
135views Machine Learning» more  ML 2010»
14 years 7 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer