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PAMI
2006
93views more  PAMI 2006»
13 years 3 months ago
Improving Multiclass Pattern Recognition by the Combination of Two Strategies
We present a new method of multiclass classification based on the combination of one-vs-all method and a modification of one-vs-one method. This combination of one-vs-all and one-v...
Nicolás García-Pedrajas, Domingo Ort...
MCS
2009
Springer
13 years 8 months ago
An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets
The meta-learner MLR (Multi-response Linear Regression) has been proposed as a trainable combiner for fusing heterogeneous baselevel classifiers. Although it has interesting prope...
Chun-Xia Zhang, Robert P. W. Duin
ARTMED
2007
347views more  ARTMED 2007»
13 years 3 months ago
A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature
Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goal to assist clinicians in the diagnosis of brai...
Jan Luts, Arend Heerschap, Johan A. K. Suykens, Sa...
MCS
2005
Springer
13 years 9 months ago
Which Is the Best Multiclass SVM Method? An Empirical Study
Abstract. Multiclass SVMs are usually implemented by combining several two-class SVMs. The one-versus-all method using winner-takes-all strategy and the one-versus-one method imple...
Kaibo Duan, S. Sathiya Keerthi
ICPR
2002
IEEE
14 years 4 months ago
Rejection Strategies and Confidence Measures for a k- NN Classifier in an OCR Task
In Handwritten Character Recognition, the rejection of extraneous patterns, like image noise, strokes or corrections, can improve significantly the practical usefulness of a syste...
Javier Cano, Joaquim Arlandis, Juan Carlos P&eacut...