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» Bias and Variance Approximation in Value Function Estimates
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CVPR
1999
IEEE
14 years 10 months ago
Fast, Robust, and Consistent Camera Motion Estimation
Previous algorithms that recover camera motion from image velocities sufferfrom both bias and excessive variance in the results. We propose a robust estimator of camera motion tha...
Tong Zhang, Carlo Tomasi
TSP
2010
13 years 3 months ago
Source extraction by maximizing the variance in the conditional distribution tails
This paper presents a method for signal extraction based on conditional second-order moments of the output of the extraction filter. The estimator of the filter is derived from an ...
Ronald Phlypo, Vicente Zarzoso, Ignace Lemahieu
TSP
2010
13 years 3 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
ICASSP
2008
IEEE
14 years 3 months ago
Performance analysis of the cepstral technique for frequency-domain optical-coherence tomography
Recently, we proposed a noniterative cepstral technique for exact signal recovery in frequency-domain optical-coherence tomography. In this paper, we address the influence of mea...
S. Chandra Sekhar, Michael Unser
TSP
2010
13 years 3 months ago
Performance analysis of reconstruction techniques for frequency-domain optical-coherence tomography
We address the issue of noise robustness of reconstruction techniques for frequency-domain optical-coherence tomography. We consider three reconstruction techniques: Fourier, iter...
Chandra Sekhar Seelamantula, Michael Unser