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212
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CVPR
2010
IEEE
13 years 11 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
JMLR
2012
13 years 4 months ago
Domain Adaptation: A Small Sample Statistical Approach
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Fost...
132
Voted
VMV
2004
150views Visualization» more  VMV 2004»
15 years 3 months ago
Hierarchical Shape-Adaptive Quantization for Geometry Compression
The compression of polygonal mesh geometry is still an active field of research as in 3d no theoretical bounds are known. This work proposes a geometry coding method based on pred...
Stefan Gumhold
134
Voted
INFOCOM
2012
IEEE
13 years 4 months ago
Cuckoo sampling: Robust collection of flow aggregates under a fixed memory budget
—Collecting per-flow aggregates in high-speed links is challenging and usually requires traffic sampling to handle peak rates and extreme traffic mixes. Static selection of sa...
Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Nick...
141
Voted
INFORMATICALT
2002
154views more  INFORMATICALT 2002»
15 years 1 months ago
Adaptive Stable Control of Manipulators with Improved Adaptation Transients by Using On-line Supervision of the Free-Parameters
An adaptive control scheme for mechanical manipulators is proposed. The control loop essentially consists of a network for learning the robot's inverse dynamics and on-line ge...
Manuel de la Sen, Ana Almansa