1364 search results - page 193 / 273 » Sampling Methods for Unsupervised Learning |
155
click to vote
TKDE
2011
14 years 9 months ago
2011
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
121
click to vote
JMLR
2010
14 years 9 months ago
2010
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
144
Voted
ICIP
2009
IEEE
15 years 1 days ago
2009
IEEE
In this paper a new solution for the single sample problem in low resolution face recognition is proposed. The proposed solution uses an enhanced virtual pose generation method to...
IADIS
2008
15 years 3 months ago
2008
For several years, some teachers of the Statistics' Department at the University of Cordoba, with some last course of technical Industrial Engineering in Computer science pup...
111
click to vote
TKDE
2010
15 years 20 days ago
2010
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...