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ANOR
2006
69views more  ANOR 2006»
15 years 6 months ago
A splitting method for stochastic programs
This paper derives a new splitting-based decomposition algorithm for convex stochastic programs. It combines certain attractive features of the progressive hedging algorithm of Roc...
Teemu Pennanen, Markku Kallio
GMP
2008
IEEE
153views Solid Modeling» more  GMP 2008»
16 years 27 days ago
A Revisit to Least Squares Orthogonal Distance Fitting of Parametric Curves and Surfaces
Fitting of data points by parametric curves and surfaces is demanded in many scientific fields. In this paper we review and analyze existing least squares orthogonal distance fi...
Yang Liu, Wenping Wang
JSCIC
2008
59views more  JSCIC 2008»
15 years 6 months ago
Computing Derivatives of Noisy Signals Using Orthogonal Functions Expansions
In many applications noisy signals are measured. These signals has to be filtered and, sometimes, their derivative have to be computed. In this paper a method for filtering the si...
Adi Ditkowski, Abhinav Bhandari, Brian W. Sheldon
SIGMOD
2005
ACM
150views Database» more  SIGMOD 2005»
16 years 6 months ago
BRAID: Stream Mining through Group Lag Correlations
The goal is to monitor multiple numerical streams, and determine which pairs are correlated with lags, as well as the value of each such lag. Lag correlations (and anticorrelation...
Yasushi Sakurai, Spiros Papadimitriou, Christos Fa...
IROS
2009
IEEE
223views Robotics» more  IROS 2009»
16 years 1 months ago
On the consistency of EKF-SLAM: Focusing on the observation models
— In this paper a new strategy for handling the observation information of a bearing-range sensor throughout the filtering process of EKF-SLAM is proposed. This new strategy is ...
Amir Hossein Tamjidi, Hamid D. Taghirad, Ali Akbar...