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» A Training Method with Small Computation for Classification
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CVPR
2006
IEEE
14 years 11 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
13 years 24 days 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
14 years 11 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»
13 years 9 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
PAA
2008
13 years 9 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