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» Computing robust basestock levels
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CVPR
2005
IEEE
14 years 9 months ago
Simultaneous Modeling and Tracking (SMAT) of Feature Sets
A novel method for the simultaneous modeling and tracking (SMAT) of a feature set during motion sequence is proposed. The method requires no prior information. Instead the a poste...
N. D. H. Dowson, Richard Bowden
ICASSP
2008
IEEE
14 years 2 months ago
Reconstructing sparse signals from their zero crossings
Classical sampling records the signal level at pre-determined time instances, usually uniformly spaced. An alternative implicit sampling model is to record the timing of pre-deter...
Petros Boufounos, Richard G. Baraniuk
INFOCOM
2011
IEEE
12 years 11 months ago
Secure and practical outsourcing of linear programming in cloud computing
—Cloud Computing has great potential of providing robust computational power to the society at reduced cost. It enables customers with limited computational resources to outsourc...
Cong Wang, Kui Ren, Jia Wang
CLIN
2000
13 years 9 months ago
Alpino: Wide-coverage Computational Analysis of Dutch
Alpino is a wide-coverage computational analyzer of Dutch which aims at accurate, full, parsing of unrestricted text. We describe the head-driven lexicalized grammar and the lexic...
Gosse Bouma, Gertjan van Noord, Rob Malouf
CDC
2008
IEEE
161views Control Systems» more  CDC 2008»
13 years 9 months ago
A fast algorithm to compute the controllability, decentralized fixed-mode, and minimum-phase radius of LTI systems
In this paper, an efficient algorithm is presented for solving the 2-D optimization problem which is associated with computing the robustness measures of a number of linear time-in...
Simon Lam, Edward J. Davison