Sciweavers

NIPS
2003
13 years 5 months ago
Learning with Local and Global Consistency
We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to sem...
Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal,...
ECML
2006
Springer
13 years 8 months ago
Transductive Gaussian Process Regression with Automatic Model Selection
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
Quoc V. Le, Alexander J. Smola, Thomas Gärtne...
DAGM
2005
Springer
13 years 10 months ago
Regularization on Discrete Spaces
Abstract. We consider the classification problem on a finite set of objects. Some of them are labeled, and the task is to predict the labels of the remaining unlabeled ones. Such...
Dengyong Zhou, Bernhard Schölkopf
MM
2006
ACM
113views Multimedia» more  MM 2006»
13 years 10 months ago
Transductive inference using multiple experts for brushwork annotation in paintings domain
Many recent studies perform annotation of paintings based on brushwork. In these studies the brushwork is modeled indirectly as part of the annotation of high-level artistic conce...
Yelizaveta Marchenko, Tat-Seng Chua, Ramesh Jain
MMM
2007
Springer
135views Multimedia» more  MMM 2007»
13 years 10 months ago
Ontology-Based Annotation of Paintings Using Transductive Inference Framework
Domain-specific knowledge of paintings defines a wide range of concepts for annotation and flexible retrieval of paintings. In this work, we employ the ontology of artistic concept...
Yelizaveta Marchenko, Tat-Seng Chua, Ramesh Jain