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ICASSP
2011
IEEE
12 years 11 months ago
Estimation and dynamic updating of time-varying signals with sparse variations
This paper presents an algorithm for an 1-regularized Kalman filter. Given observations of a discrete-time linear dynamical system with sparse errors in the state evolution, we e...
Muhammad Salman Asif, Adam Charles, Justin K. Romb...
CEC
2007
IEEE
14 years 2 months ago
Computational intelligence algorithms for risk-adjusted trading strategies
Abstract— This paper investigates the performance of trading strategies identified through Computational Intelligence techniques. We focus on trading rules derived by Genetic Pr...
Nicos G. Pavlidis, E. G. Pavlidis, Michael G. Epit...
MMAS
2010
Springer
13 years 2 months ago
A Nonlinear PDE-Based Method for Sparse Deconvolution
In this paper, we introduce a new nonlinear evolution partial differential equation for sparse deconvolution problems. The proposed PDE has the form of continuity equation that ar...
Yu Mao, Bin Dong, Stanley Osher
CEC
2007
IEEE
13 years 11 months ago
Adaptive farming strategies for dynamic economic environment
This paper aims to forecast the economic impacts of changing land-use in UK uplands. We assume that farmers adaptively learn and respond to a dynamic economic environment. The main...
Nanlin Jin, Mette Termansen, Klaus Hubacek, Joseph...
TIP
2010
108views more  TIP 2010»
13 years 6 months ago
Image Reconstruction Using Particle Filters and Multiple Hypotheses Testing
Abstract—In this paper, we introduce a reconstruction framework that explicitly accounts for image geometry when defining the spatial interaction between pixels in the filterin...
Noura Azzabou, Nikos Paragios, Frederic Guichard