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» Bias and Variance Approximation in Value Function Estimates
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CVPR
1999
IEEE
16 years 1 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
14 years 6 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
14 years 6 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
15 years 6 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
14 years 6 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