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MA
2010
Springer
135views Communications» more  MA 2010»
13 years 6 months ago
Asymptotic expansion of the minimum covariance determinant estimators
In Cator and Lopuha¨a [3] an asymptotic expansion for the MCD estimators is established in a very general framework. This expansion requires the existence and non-singularity of ...
Eric A. Cator, Hendrik P. Lopuhaä
TSP
2008
76views more  TSP 2008»
13 years 8 months ago
Eigenvalue Beamforming Using a Multirank MVDR Beamformer and Subspace Selection
Abstract--We derive eigenvalue beamformers to resolve an unknown signal of interest whose spatial signature lies in a known subspace, but whose orientation in that subspace is othe...
Ali Pezeshki, B. D. Van Veen, Louis L. Scharf, H. ...
CVPR
2008
IEEE
14 years 10 months ago
On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation
Linear inverse problems in computer vision, including motion estimation, shape fitting and image reconstruction, give rise to parameter estimation problems with highly correlated ...
Björn Andres, Claudia Kondermann, Daniel Kond...
ECCV
2010
Springer
14 years 1 months ago
Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...
ECCV
2010
Springer
13 years 9 months ago
Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...
Christoph H. Lampert, Oliver Krömer