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» Combining SVM Classifiers for Handwritten Digit Recognition
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ALT
2004
Springer
13 years 11 months ago
Applications of Regularized Least Squares to Classification Problems
Abstract. We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized least-squares classifiers. The behavior ...
Nicolò Cesa-Bianchi
ICML
2006
IEEE
14 years 8 months ago
Nightmare at test time: robust learning by feature deletion
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
Amir Globerson, Sam T. Roweis
KDD
2002
ACM
187views Data Mining» more  KDD 2002»
14 years 7 months ago
Transforming classifier scores into accurate multiclass probability estimates
Class membership probability estimates are important for many applications of data mining in which classification outputs are combined with other sources of information for decisi...
Bianca Zadrozny, Charles Elkan
PAMI
2011
13 years 2 months ago
Eye Movement Analysis for Activity Recognition Using Electrooculography
—In this work, we investigate eye movement analysis as a new sensing modality for activity recognition. Eye movement data were recorded using an electrooculography (EOG) system. ...
Andreas Bulling, Jamie A. Ward, Hans Gellersen, Ge...
ICC
2007
IEEE
155views Communications» more  ICC 2007»
14 years 1 months ago
Automatic Digital Signal Types Recognition Using SI-NN and HOS
— Recognition of digital signal type is an important topic for various applications. In this paper a method is presented that identifies different types of digital signals. This ...
Ataollah Ebrahimzadeh, Mehrdad Ardebilipour, Alire...