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CDC
2010
IEEE
215views Control Systems» more  CDC 2010»
14 years 9 months ago
Consensus with robustness to outliers via distributed optimization
Over the past few years, a number of distributed algorithms have been developed for integrating the measurements acquired by a wireless sensor network. Among them, average consensu...
Jixin Li, Ehsan Elhamifar, I.-Jeng Wang, Ren&eacut...
ICPR
2002
IEEE
16 years 3 months ago
On the Equivalence of Local-Mode Finding, Robust Estimation and Mean-Shift Analysis as Used in Early Vision Tasks
In this paper we show the equivalence of three techniques used in image processing: local-mode finding, robust-estimation and mean-shift analysis. The computational common element...
Rein van den Boomgaard, Joost van de Weijer
SIAMCO
2002
77views more  SIAMCO 2002»
15 years 1 months ago
Robust Optimal Switching Control for Nonlinear Systems
Abstract. We formulate a robust optimal control problem for a general nonlinear system with finitely many admissible control settings and with costs assigned to switching of contro...
Joseph A. Ball, Jerawan Chudoung, Martin V. Day
ISBI
2004
IEEE
16 years 2 months ago
Robust Unsupervised Tissue Classification in MR Images
A general framework for performing robust, unsupervised tissue classification in magnetic resonance images is presented. Tissue classification is formulated as an estimation probl...
Dzung L. Pham, Jerry L. Prince
NIPS
2008
15 years 3 months ago
Robust Kernel Principal Component Analysis
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
Minh Hoai Nguyen, Fernando De la Torre