Sciweavers

1132 search results - page 1 / 227
» Classification by Discriminative Regularization
Sort
View
CSSC
2008
80views more  CSSC 2008»
13 years 4 months ago
Logistic Discrimination with Total Variation Regularization
This article introduces a regularized logistic discrimination method that is especially suited for discretized stochastic processes (such as periodograms, spectrograms, EEG curves...
Robin Rühlicke, Daniel Gervini
AAAI
2008
13 years 7 months ago
Classification by Discriminative Regularization
Classification is one of the most fundamental problems in machine learning, which aims to separate the data from different classes as far away as possible. A common way to get a g...
Bin Zhang, Fei Wang, Ta-Hsin Li, Wen Jun Yin, Jin ...
AAAI
2008
13 years 7 months ago
On Discriminative Semi-Supervised Classification
The recent years have witnessed a surge of interests in semi-supervised learning methods. A common strategy for these algorithms is to require that the predicted data labels shoul...
Fei Wang, Changshui Zhang
AMFG
2005
IEEE
152views Biometrics» more  AMFG 2005»
13 years 10 months ago
Regularization of LDA for Face Recognition: A Post-processing Approach
When applied to high-dimensional classification task such as face recognition, linear discriminant analysis (LDA) can extract two kinds of discriminant vectors, those in the null s...
Wangmeng Zuo, Kuanquan Wang, David Zhang, Jian Yan...
PRL
2007
154views more  PRL 2007»
13 years 4 months ago
Regularized mixture discriminant analysis
Abstract – In this paper we seek a Gaussian mixture model (GMM) of the classconditional densities for plug-in Bayes classification. We propose a method for setting the number of ...
Zohar Halbe, Mayer Aladjem