25 search results - page 4 / 5 » Active Learning for Classifying Phone Sequences from Unsuper... |
AMDO
2010
Springer
13 years 2 months ago
2010
Springer
We propose a method for human full-body pose tracking from measurements of wearable inertial sensors. Since the data provided by such sensors is sparse, noisy and often ambiguous, ...
ISWC
2006
IEEE
13 years 10 months ago
2006
IEEE
We present an approach to activity discovery, the unsupervised identification and modeling of human actions embedded in a larger sensor stream. Activity discovery can be seen as ...
ICANN
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. Building on the current understanding of neural architecture of the visual cortex, we present a graphical model for learning and classification of motion patterns in vid...
PAKDD
2009
ACM
13 years 9 months ago
2009
ACM
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
CVPR
2010
IEEE
13 years 5 months ago
2010
IEEE
We present a novel method for the discovery and statistical representation of motion patterns in a scene observed by a static camera. Related methods involving learning of pattern...