167 search results - page 24 / 34 » LIFT: A new framework of learning from testing data for face... |
CVPR
2003
IEEE
14 years 10 months ago
2003
IEEE
Monitoring activities using video data is an important surveillance problem. A special scenario is to learn the pattern of normal activities and detect abnormal events from a very...
NIPS
1997
13 years 10 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
CVPR
2010
IEEE
13 years 8 months ago
2010
IEEE
Transfer learning allows leveraging the knowledge of source domains, available a priori, to help training a classifier for a target domain, where the available data is scarce. Th...
ISVC
2007
Springer
14 years 2 months ago
2007
Springer
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
MCS
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. Data with multi-valued categorical attributes can cause major problems for decision trees. The high branching factor can lead to data fragmentation, where decisions have ...