274 search results - page 2 / 55 » Activity Recognition from Sparsely Labeled Data Using Multi-... |
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
In active learning, where a learning algorithm has to purchase the labels of its training examples, it is often assumed that there is only one labeler available to label examples, ...
JMLR
2010
13 years 6 days ago
2010
We consider a supervised learning setting in which the main cost of learning is the number of training labels and one can obtain a single label for a bag of examples, indicating o...
ICCV
2003
IEEE
14 years 7 months ago
2003
IEEE
Labeling video data is an essential prerequisite for many vision applications that depend on training data, such as visual information retrieval, object recognition, and human act...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
We propose an approach to activity recognition based on detecting and analyzing the sequence of objects that are being manipulated by the user. In domains such as cooking, where m...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...