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» On multivariate estimation by thresholding
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COMPGEOM
2004
ACM
14 years 2 months ago
On the least median square problem
We consider the exact and approximate computational complexity of the multivariate LMS linear regression estimator. The LMS estimator is among the most widely used robust linear s...
Jeff Erickson, Sariel Har-Peled, David M. Mount
ICIP
1998
IEEE
14 years 1 months ago
Spatially Adaptive Wavelet Thresholding with Context Modeling for Image Denoising
The method of wavelet thresholding for removing noise, or denoising, has been researched extensively due to its effectiveness and simplicity. Much of the literature has focused on ...
S. Grace Chang, Bin Yu, Martin Vetterli
ECCV
2006
Springer
14 years 11 months ago
Multivariate Relevance Vector Machines for Tracking
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
AUTOMATICA
2008
108views more  AUTOMATICA 2008»
13 years 9 months ago
Closed-loop identification of multivariable systems: With or without excitation of all references?
The accuracy of plant parameters estimated in closed-loop operation is investigated for a class of multivariable systems and for the situation where only some of the reference inp...
Ljubisa Miskovic, Alireza Karimi, Dominique Bonvin...
SMA
2010
ACM
181views Solid Modeling» more  SMA 2010»
13 years 4 months ago
Threshold selection in jump-discriminant filter for discretely observed jump processes
Threshold estimation is one of the useful techniques in the inference for jump-type stochastic processes from discrete observations. In this method, a jump-discriminant filter is ...
Yasutaka Shimizu