2192 search results - page 76 / 439 » Algorithms for Challenging Motif Problems |
CCECE
2011
IEEE
12 years 8 months ago
2011
IEEE
— Although "Adaptive Mesh" is regarded as complicating method for object tracking accompanied with many controversies and obstacles, but it has been proposed that such ...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
Blind deconvolution is the recovery of a sharp version of
a blurred image when the blur kernel is unknown. Recent
algorithms have afforded dramatic progress, yet many aspects
of...
AINA
2008
IEEE
13 years 10 months ago
2008
IEEE
Sensor networks usually generate continuous stream of data over time. Clustering sensor data as a core task of mining sensor data plays an essential role in analytical application...
NIPS
2008
13 years 9 months ago
2008
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
DATAMINE
1999
13 years 7 months ago
1999
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...