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TSP
2010
15 years 16 days ago
On the optimal performance in asymmetric gaussian wireless sensor networks with fading
We study the estimation of a Gaussian source by a Gaussian wireless sensor network (WSN) where L distributed sensors transmit noisy observations of the source through a fading Gau...
Hamid Behroozi, Fady Alajaji, Tamás Linder
IJCV
2008
188views more  IJCV 2008»
15 years 5 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
GLOBECOM
2006
IEEE
15 years 12 months ago
Linear Joint Source-Channel Coding for Gaussian Sources through Fading Channels
Abstract— We consider the linear coding of a discrete memoryless Gaussian source transmitted through a discrete memoryless fading channel with additive white Gaussian noise (AWGN)...
Jinjun Xiao, Zhi-Quan Luo, Nihar Jindal
CORR
2010
Springer
134views Education» more  CORR 2010»
15 years 4 months ago
The LASSO risk for gaussian matrices
We consider the problem of learning a coefficient vector x0 ∈ RN from noisy linear observation y = Ax0 + w ∈ Rn . In many contexts (ranging from model selection to image proce...
Mohsen Bayati, Andrea Montanari
DSMML
2004
Springer
15 years 11 months ago
Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
Peter Sollich