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» Bias and Variance Approximation in Value Function Estimates
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SIAMSC
2010
141views more  SIAMSC 2010»
13 years 7 months ago
An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson
In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-lo...
Johnathan M. Bardsley, John Goldes
CORR
2011
Springer
243views Education» more  CORR 2011»
13 years 3 months ago
Distributed Estimation and False Data Detection with Application to Power Networks
This work presents a distributed method for control centers in a power network to estimate the operating condition of the power plant, and to ultimately determine the occurrence o...
Fabio Pasqualetti, Ruggero Carli, Francesco Bullo
ICASSP
2011
IEEE
13 years 10 days ago
Error-entropy based channel state estimation of spatially correlated MIMO-OFDM
—This paper deals with optimized training sequences to estimate multiple-input multiple-output orthogonal frequencydivision multiplexing (MIMO-OFDM) channel states in the presenc...
Hoang Duong Tuan, Ha Hoang Kha, Ha H. Nguyen
ICCAD
1996
IEEE
151views Hardware» more  ICCAD 1996»
14 years 23 days ago
Expected current distributions for CMOS circuits
The analysis of CMOS VLSI circuit switching current has become an increasingly important and difficult task from both a VLSI design and simulation software perspective. This paper...
Dennis J. Ciplickas, Ronald A. Rohrer
IJCV
1998
103views more  IJCV 1998»
13 years 8 months ago
Dense Non-Rigid Motion Estimation in Sequences of Medical Images Using Differential Constraints
We describe a new method for computing the displacement vector field in time sequences of 2D or 3D images (4D data). The method is energy-minimizing on the space of correspondence...
Serge Benayoun, Nicholas Ayache