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ICASSP
2011
IEEE
12 years 8 months ago
Dictionary learning of convolved signals
Assuming that a set of source signals is sparsely representable in a given dictionary, we show how their sparse recovery fails whenever we can only measure a convolved observation...
Daniele Barchiesi, Mark D. Plumbley
SIAMJO
2010
137views more  SIAMJO 2010»
13 years 3 months ago
Global Convergence of a New Hybrid Gauss--Newton Structured BFGS Method for Nonlinear Least Squares Problems
In this paper, we propose a hybrid Gauss-Newton structured BFGS method with a new update formula and a new switch criterion for the iterative matrix to solve nonlinear least square...
Weijun Zhou, Xiaojun Chen
BMCBI
2008
84views more  BMCBI 2008»
13 years 5 months ago
Prediction of specificity-determining residues for small-molecule kinase inhibitors
Background: Designing small-molecule kinase inhibitors with desirable selectivity profiles is a major challenge in drug discovery. A high-throughput screen for inhibitors of a giv...
Daniel R. Caffrey, Elizabeth A. Lunney, Deborah J....
NA
2010
86views more  NA 2010»
13 years 3 months ago
Adaptive version of Simpler GMRES
Abstract. In this paper we propose a stable variant of Simpler GMRES by Walker and Zhou [15]. It is based on the adaptive choice of the Krylov subspace basis at given iteration ste...
Pavel Jiránek, Miroslav Rozlozník
HPCC
2005
Springer
13 years 10 months ago
A New Parity Space Approach to Fault Detection for General Systems
This paper proposes a new parity space approach to a fault detection for general systems with noises, actuator faults and sensor faults. The proposed parity space approach could be...
Pyung Soo Kim, Eung Hyuk Lee