221 search results - page 26 / 45 » Learning from Labeled and Unlabeled Data Using Random Walks |
ICCV
2007
IEEE
14 years 2 months ago
2007
IEEE
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
DSMML
2004
Springer
14 years 1 months ago
2004
Springer
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
IJCAI
2007
13 years 9 months ago
2007
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
Discriminative reranking has been able to significantly improve parsing performance, and co-training has proven to be an effective weakly supervised learning algorithm to bootstr...