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CVPR
2010
IEEE
14 years 4 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
ICDE
2008
IEEE
190views Database» more  ICDE 2008»
16 years 8 months ago
Adaptive Segmentation for Scientific Databases
In this paper we explore database segmentation in the context of a column-store DBMS targeted at a scientific database. We present a novel hardware- and scheme-oblivious segmentati...
Milena Ivanova, Martin L. Kersten, Niels Nes
COMPSAC
2007
IEEE
16 years 1 months ago
Qianxiang Wang
Software that runs in the network environment is facing with many challenges. One of them is the dynamic feature of the network. To keep the quality of service, the service entity...
Qianxiang Wang
ICRA
2007
IEEE
125views Robotics» more  ICRA 2007»
16 years 1 months ago
Port-Hamiltonian approaches to motion generation for mechanical systems
— This paper gives new motion generation methods for mechanical port-Hamiltonian systems. First, we propose a generation method based on an asymptotic stabilization method withou...
Satoru Sakai, Stefano Stramigioli
ICML
1994
IEEE
15 years 11 months ago
Hierarchical Self-Organization in Genetic programming
This paper presents an approach to automatic discovery of functions in Genetic Programming. The approach is based on discovery of useful building blocks by analyzing the evolution...
Justinian P. Rosca, Dana H. Ballard