SDM
2012
SIAM
12 years 3 months ago
2012
SIAM
Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...
CVPR
2012
IEEE
12 years 3 months ago
2012
IEEE
We describe a mid-level approach for action recognition. From an input video, we extract salient spatio-temporal structures by forming clusters of trajectories that serve as candi...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Successful software maintenance is becoming increasingly critical due to the increasing dependence of our society and economy on software systems. One key problem of software main...
JMM2
2008
14 years 17 days ago
2008
The preservation of temporal dependencies among different media data, such as text, still images, video and audio, and which have simultaneous distributed sources as origin, is an ...
CVPR
2008
IEEE
15 years 2 months ago
2008
IEEE
In this paper, we address the problem of representing human actions using visual cues for the purpose of learning and recognition. Traditional approaches model actions as space-ti...