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» Sparse LMS for system identification
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CORR
2010
Springer
103views Education» more  CORR 2010»
14 years 9 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
AUTOMATICA
2005
137views more  AUTOMATICA 2005»
14 years 9 months ago
Multivariable frequency-response curve fitting with application to modal parameter estimation
This paper presents a computational approach for the frequency-domain identification of multivariable, discrete-time transfer function models based on a cost function minimization...
P. Verboven, P. Guillaume, B. Cauberghe
114
Voted
NIPS
2008
14 years 11 months ago
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
Identification and comparison of nonlinear dynamical system models using noisy and sparse experimental data is a vital task in many fields, however current methods are computation...
Ben Calderhead, Mark Girolami, Neil D. Lawrence
INFOCOM
2009
IEEE
15 years 4 months ago
ACTION: Breaking the Privacy Barrier for RFID Systems
—In order to protect privacy, Radio Frequency Identification (RFID) systems employ Privacy-Preserving Authentication (PPA) to allow valid readers to explicitly authenticate their...
Li Lu, Jinsong Han, Renyi Xiao, Yunhao Liu
GIS
2008
ACM
15 years 10 months ago
Autonomous navigation of mobile agents using RFID-enabled space partitions
Existing techniques for autonomous indoor navigation are often environment-specific and thus limited in terms of their applicability. In this paper, we take a fundamentally differ...
Muhammad Atif Mehmood, Lars Kulik, Egemen Tanin