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AUTOMATICA
2006
132views more  AUTOMATICA 2006»
13 years 8 months ago
A new autocovariance least-squares method for estimating noise covariances
Industrial implementation of model-based control methods, such as model predictive control, is often complicated by the lack of knowledge about the disturbances entering the syste...
Brian J. Odelson, Murali R. Rajamani, James B. Raw...
ICPR
2010
IEEE
14 years 3 months ago
Semi-Supervised Distance Metric Learning by Quadratic Programming
This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
Hakan Cevikalp
BICOB
2010
Springer
13 years 6 months ago
Multiple Kernel Learning for Fold Recognition
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
Huzefa Rangwala
CDC
2008
IEEE
172views Control Systems» more  CDC 2008»
13 years 10 months ago
Convex relaxation approach to the identification of the Wiener-Hammerstein model
In this paper, an input/output system identification technique for the Wiener-Hammerstein model and its feedback extension is proposed. In the proposed framework, the identificatio...
Kin Cheong Sou, Alexandre Megretski, Luca Daniel
IOR
2008
62views more  IOR 2008»
13 years 8 months ago
Improved Bounds for the Symmetric Rendezvous Value on the Line
A notorious open problem in the field of rendezvous search is to decide the rendezvous value of the symmetric rendezvous search problem on the line, when the initial distance apar...
Qiaoming Han, Donglei Du, Juan Vera, Luis F. Zulua...