115 search results - page 6 / 23 » Learning from labeled features using generalized expectation... |
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
CVPR
2009
IEEE
14 years 13 days ago
2009
IEEE
We investigate the problem of automatically labelling faces of characters in TV or movie material with their names, using only weak supervision from automaticallyaligned subtitle ...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
AAAI
2011
12 years 8 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
WWW
2010
ACM
13 years 8 months ago
2010
ACM
Sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of users publishing sentiment data (e.g., reviews, blogs). Although traditio...