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ACID
2006
352views Algorithms» more  ACID 2006»
13 years 7 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»
13 years 5 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
13 years 9 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»
14 years 3 days 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»
13 years 5 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