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» Robust estimation for sparse data
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SCALESPACE
2007
Springer
14 years 1 months ago
A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers
In this paper, we address the problem of estimating mesoscale dynamics of atmospheric layers from satellite image sequences. Relying on a physically sound vertical decomposition of...
Patrick Héas, Étienne Mémin, ...
ISBI
2009
IEEE
14 years 2 months ago
Improving M/EEG Source Localization with an Inter-Condition Sparse Prior
The inverse problem with distributed dipoles models in M/EEG is strongly ill-posed requiring to set priors on the solution. Most common priors are based on a convenient ℓ2 norm....
Alexandre Gramfort, Matthieu Kowalski
3DPVT
2004
IEEE
316views Visualization» more  3DPVT 2004»
13 years 11 months ago
A Statistical Method for Robust 3D Surface Reconstruction from Sparse Data
Abstract-General information about a class of objects, such as human faces or teeth, can help to solve the otherwise ill-posed problem of reconstructing a complete surface from spa...
Volker Blanz, Albert Mehl, Thomas Vetter, Hans-Pet...
IDA
2009
Springer
14 years 2 months ago
Cumulative State Coherence Transform for a Robust Two-Channel Multiple Source Localization
This work presents a novel robust method for a two-channel multiple Time Difference of Arrival (TDOA) estimation. The method is based on a recursive frequency-domain Independent C...
Francesco Nesta, Piergiorgio Svaizer, Maurizio Omo...
MICCAI
2000
Springer
13 years 11 months ago
Robust Midsagittal Plane Extraction from Coarse, Pathological 3D Images
Abstract. This paper focuses on the evaluation of an ideal midsagittal plane iMSP extraction algorithm. The algorithm was developed for capturing the iMSP from 3D normal and pathol...
Yanxi Liu, Robert T. Collins, William E. Rothfus