81 search results - page 3 / 17 » An Information Theoretic Framework for Multi-view Learning |
ICIP
2010
IEEE
13 years 3 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
NAACL
2010
13 years 3 months ago
2010
In this paper we propose a novel general framework for unsupervised model adaptation. Our method is based on entropy which has been used previously as a regularizer in semi-superv...
SSPR
2010
Springer
13 years 4 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
KDD
2009
ACM
14 years 6 months ago
2009
ACM
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
ECIS
2000
13 years 7 months ago
2000
Abstract- This paper deals with "Knowledge Management Systems" (KMS) which are seen as a new kind of information systems supporting organizational information processing....