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» A Training Method with Small Computation for Classification
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CVPR
2006
IEEE
16 years 5 months ago
Applying Ensembles of Multilinear Classifiers in the Frequency Domain
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...
Christian Bauckhage, Thomas Käster, John K. T...
ACL
2011
14 years 6 months ago
Contrasting Opposing Views of News Articles on Contentious Issues
We present disputant relation-based method for classifying news articles on contentious issues. We observe that the disputants of a contention are an important feature for underst...
Souneil Park, Kyung Soon Lee, Junehwa Song
ICCV
2001
IEEE
16 years 4 months ago
Image Detection Under Varying Illumination and Pose
This paper focuses on the detection of objects with Lambertian surface under both varying dlumination and pose We offer to apply a novel detection method that proceeds by modeling...
Margarita Osadchy, Daniel Keren
BMCBI
2006
118views more  BMCBI 2006»
15 years 3 months ago
A graphical model approach to automated classification of protein subcellular location patterns in multi-cell images
Background: Knowledge of the subcellular location of a protein is critical to understanding how that protein works in a cell. This location is frequently determined by the interpr...
Shann-Ching Chen, Robert F. Murphy
117
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PAA
2008
15 years 2 months ago
Prototype reduction using an artificial immune model
Artificial immune system (AIS)-based pattern classification approach is relatively new in the field of pattern recognition. The study explores the potentiality of this paradigm in ...
Utpal Garain