166 search results - page 15 / 34 » On Learning Mixtures of Heavy-Tailed Distributions |
ISVC
2009
Springer
2009
Springer
Probabilistic Facial Feature Extraction Using Joint Distribution of Location and Texture Information
14 years 3 months ago
Abstract. In this work, we propose a method which can extract critical points on a face using both location and texture information. This new approach can automatically learn featu...
PAMI
2007
13 years 8 months ago
2007
—A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as classification problems where each class is defined as...
NIPS
2004
13 years 10 months ago
2004
While clustering is usually an unsupervised operation, there are circumstances in which we believe (with varying degrees of certainty) that items A and B should be assigned to the...
NIPS
2004
13 years 10 months ago
2004
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...
SDM
2008
SIAM
13 years 10 months ago
2008
SIAM
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...