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PODC
2011
ACM
14 years 5 months ago
Robust network supercomputing without centralized control
Internet supercomputing is becoming an increasingly popular means for harnessing the power of a vast number of interconnected computers. This comes at a cost substantially lower t...
Seda Davtyan, Kishori M. Konwar, Alexander A. Shva...
ICCV
2009
IEEE
15 years 24 days ago
Exploiting uncertainty in random sample consensus
In this work, we present a technique for robust estimation, which by explicitly incorporating the inherent uncertainty of the estimation procedure, results in a more efficient rob...
Rahul Raguram, Jan-Michael Frahm, Marc Pollefeys
SIAMJO
2002
122views more  SIAMJO 2002»
15 years 2 months ago
Robust Filtering via Semidefinite Programming with Applications to Target Tracking
In this paper we propose a novel finite-horizon, discrete-time, time-varying filtering method based on the robust semidefinite programming (SDP) technique. The proposed method prov...
Lingjie Li, Zhi-Quan Luo, Timothy N. Davidson, Kon...
PAMI
2010
146views more  PAMI 2010»
15 years 1 months ago
A Generalized Kernel Consensus-Based Robust Estimator
In this paper, we present a new Adaptive Scale Kernel Consensus (ASKC) robust estimator as a generalization of the popular and state-of-the-art robust estimators such as RANSAC (R...
Hanzi Wang, Daniel Mirota, Gregory D. Hager
INFORMATICALT
2000
101views more  INFORMATICALT 2000»
15 years 2 months ago
Closed-loop Robust Identification Using the Indirect Approach
In the previous paper (Pupeikis, 2000) the problem of closed-loop robust identification using the direct approach in the presence of outliers in observations have been considered. ...
Rimantas Pupeikis