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CVPR
2010
IEEE
12 years 6 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
TEI
2012
ACM
277views Hardware» more  TEI 2012»
12 years 4 months ago
FoldMe: interacting with double-sided foldable displays
In this paper, we present a novel device concept that features double-sided displays which can be folded using predefined hinges. The device concept enables users to dynamically a...
Mohammadreza Khalilbeigi, Roman Lissermann, Wolfga...
TOG
2012
188views Communications» more  TOG 2012»
11 years 11 months ago
Deformable objects alive!
We present a method for controlling the motions of active deformable characters. As an underlying principle, we require that all motions be driven by internal deformations. We ach...
Stelian Coros, Sebastian Martin, Bernhard Thomasze...
ACL
2012
11 years 11 months ago
Learning High-Level Planning from Text
Comprehending action preconditions and effects is an essential step in modeling the dynamics of the world. In this paper, we express the semantics of precondition relations extrac...
S. R. K. Branavan, Nate Kushman, Tao Lei, Regina B...
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
11 years 11 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray