488 search results - page 28 / 98 » Point labeling with sliding labels |
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Active learning has been proven a reliable strategy to reduce manual efforts in training data labeling. Such strategies incorporate the user as oracle: the classifier selects the m...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
Abstract. We describe a new approach for learning to perform classbased segmentation using only unsegmented training examples. As in previous methods, we first use training images ...
ICMI
2004
Springer
14 years 26 days ago
2004
Springer
We present a video demonstration of an agent-based test bed application for ongoing research into multi-user, multimodal, computer-assisted meetings. The system tracks a two perso...