25 search results - page 1 / 5 » Active Learning for Classifying Phone Sequences from Unsuper... |
NAACL
2003
13 years 5 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...
MOBISYS
2009
ACM
14 years 4 months ago
2009
ACM
Top end mobile phones include a number of specialized (e.g., accelerometer, compass, GPS) and general purpose sensors (e.g., microphone, camera) that enable new people-centric sen...
CVPR
2011
IEEE
13 years 23 days ago
2011
IEEE
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
TITS
2008
13 years 4 months ago
2008
This paper presents two different types of visual activity analysis modules based on vehicle tracking. The highway monitoring module accurately classifies vehicles into eight diffe...