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» Projection for pattern recognition
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PREMI
2005
Springer
14 years 1 months ago
Approximation Spaces in Machine Learning and Pattern Recognition
Abstract. Approximation spaces are fundamental for the rough set approach. We discuss their application in machine learning and pattern recognition.
Andrzej Skowron, Jaroslaw Stepaniuk, Roman W. Swin...
MCS
2007
Springer
14 years 1 months ago
An Experimental Study on Rotation Forest Ensembles
Rotation Forest is a recently proposed method for building classifier ensembles using independently trained decision trees. It was found to be more accurate than bagging, AdaBoost...
Ludmila I. Kuncheva, Juan José Rodrí...
AIPR
2001
IEEE
13 years 11 months ago
Model-Based Face Tracking for Dense Motion Field Estimation
When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since...
Timothy F. Gee, Russell M. Mersereau
MCS
2010
Springer
13 years 9 months ago
Tomographic Considerations in Ensemble Bias/Variance Decomposition
Abstract. Classifier decision fusion has been shown to act in a manner analogous to the back-projection of Radon transformations when individual classifier feature sets are non o...
David Windridge
ICPR
2004
IEEE
14 years 8 months ago
Prototype Setting for Elastic Matching-Based Image Pattern Recognition
Hiroaki Sakoe, Naoki Matsumoto, Seiichi Uchida