274 search results - page 1 / 55 » Activity Recognition from Sparsely Labeled Data Using Multi-... |
LOCA
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. Activity recognition has attracted increasing attention in recent years due to its potential to enable a number of compelling contextaware applications. As most approache...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
KDD
2009
ACM
13 years 11 months ago
2009
ACM
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
IJON
2010
13 years 3 months ago
2010
An active learner usually assumes there are some labeled data available based on which a moderate classifier is learned and then examines unlabeled data to manually label the mos...
NAACL
2003
13 years 6 months ago
2003
This paper describes an application of active learning methods to the classification of phone strings recognized using unsupervised phonotactic models. The only training data req...