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» Large Margin Classification Using the Perceptron Algorithm
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SAC
2006
ACM
14 years 2 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
ECCV
2002
Springer
14 years 10 months ago
Face Recognition from Long-Term Observations
We address the problem of face recognition from a large set of images obtained over time - a task arising in many surveillance and authentication applications. A set or a sequence ...
Gregory Shakhnarovich, John W. Fisher III, Trevor ...
SDM
2008
SIAM
165views Data Mining» more  SDM 2008»
13 years 10 months ago
On the Dangers of Cross-Validation. An Experimental Evaluation
Cross validation allows models to be tested using the full training set by means of repeated resampling; thus, maximizing the total number of points used for testing and potential...
R. Bharat Rao, Glenn Fung
BMCBI
2010
122views more  BMCBI 2010»
13 years 9 months ago
An automated framework for understanding structural variations in the binding grooves of MHC class II molecules
Background: MHC/HLA class II molecules are important components of the immune system and play a critical role in processes such as phagocytosis. Understanding peptide recognition ...
Kalidas Yeturu, Tapani Utriainen, Graham J. L. Kem...
CVPR
2009
IEEE
15 years 4 months ago
Regularized Multi-Class Semi-Supervised Boosting
Many semi-supervised learning algorithms only deal with binary classification. Their extension to the multi-class problem is usually obtained by repeatedly solving a set of bina...
Amir Saffari, Christian Leistner, Horst Bischof