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ACID
2006
352views Algorithms» more  ACID 2006»
10 years 5 months ago
Matrix Robustness, with an Application to Power System Observability
Matthias Brosemann, Jochen Alber, Falk Hüffne...
CORR
2010
Springer
103views Education» more  CORR 2010»
10 years 4 months ago
Robust Matrix Decomposition with Outliers
Suppose a given observation matrix can be decomposed as the sum of a low-rank matrix and a sparse matrix (outliers), and the goal is to recover these individual components from th...
Daniel Hsu, Sham M. Kakade, Tong Zhang
ICASSP
2009
IEEE
10 years 8 months ago
A tempering approach for Itakura-Saito non-negative matrix factorization. With application to music transcription
In this paper we are interested in non-negative matrix factorization (NMF) with the Itakura-Saito (IS) divergence. Previous work has demonstrated the relevance of this cost functi...
Nancy Bertin, Cédric Févotte, Roland...
DATE
2007
IEEE
133views Hardware» more  DATE 2007»
10 years 10 months ago
Stochastic modeling and optimization for robust power management in a partially observable system
As the hardware and software complexity grows, it is unlikely for the power management hardware/software to have a full observation of the entire system status. In this paper, we ...
Qinru Qiu, Ying Tan, Qing Wu
AUTOMATICA
2005
121views more  AUTOMATICA 2005»
10 years 4 months ago
Robust state observer and control design using command-to-state mapping
In this paper, by introducing the concept of command-to-state/output mapping, it is shown that the state of an uncertain nonlinear system can robustly be estimated if command-to-s...
Zhihua Qu
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