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ICML
2007
IEEE
14 years 10 months ago
Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian Eigenmaps
Non-linear dimensionality reduction of noisy data is a challenging problem encountered in a variety of data analysis applications. Recent results in the literature show that spect...
Samuel Gerber, Tolga Tasdizen, Ross T. Whitaker
CVPR
2008
IEEE
14 years 11 months ago
Robust estimation of gaussian mixtures from noisy input data
We propose a variational bayes approach to the problem of robust estimation of gaussian mixtures from noisy input data. The proposed algorithm explicitly takes into account the un...
Shaobo Hou, Aphrodite Galata
SODA
1997
ACM
171views Algorithms» more  SODA 1997»
13 years 11 months ago
A Practical Approximation Algorithm for the LMS Line Estimator
The problem of fitting a straight line to a finite collection of points in the plane is an important problem in statistical estimation. Robust estimators are widely used because...
David M. Mount, Nathan S. Netanyahu, Kathleen Roma...
CIARP
2003
Springer
14 years 2 months ago
Robust Estimation of Roughness Parameter in SAR Amplitude Images
The precise knowledge of the statistical properties of synthetic aperture radar (SAR) data plays a central role in image processing and understanding. These properties can be used ...
Héctor Allende, Luis Pizarro
ECCV
2002
Springer
14 years 10 months ago
Using Robust Estimation Algorithms for Tracking Explicit Curves
The context of this work is lateral vehicle control using a camera as a sensor. A natural tool for controlling a vehicle is recursive filtering. The well-known Kalman fil...
Jean-Philippe Tarel, Sio-Song Ieng, Pierre Charbon...