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» Regularized mixture discriminant analysis
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CORR
2010
Springer
134views Education» more  CORR 2010»
13 years 7 months ago
Large Margin Multiclass Gaussian Classification with Differential Privacy
As increasing amounts of sensitive personal information is aggregated into data repositories, it has become important to develop mechanisms for processing the data without revealin...
Manas A. Pathak, Bhiksha Raj
AVSS
2009
IEEE
13 years 10 months ago
Bayesian Bio-inspired Model for Learning Interactive Trajectories
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
Alessio Dore, Carlo S. Regazzoni
PRL
2006
98views more  PRL 2006»
13 years 7 months ago
Data complexity assessment in undersampled classification of high-dimensional biomedical data
Regularized linear classifiers have been successfully applied in undersampled, i.e. small sample size/high dimensionality biomedical classification problems. Additionally, a desig...
Richard Baumgartner, Ray L. Somorjai
SSPR
2004
Springer
14 years 25 days ago
Structures of Covariance Matrix in Handwritten Character Recognition
The integrated approach is a classifier established on statistical estimator and artificial neural network. This consists of preliminary data whitening transformation which provide...
Sarunas Raudys, Masakazu Iwamura
JMLR
2010
179views more  JMLR 2010»
13 years 2 months ago
PAC-Bayesian Analysis of Co-clustering and Beyond
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
Yevgeny Seldin, Naftali Tishby