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AMCS
2008
146views Mathematics» more  AMCS 2008»
15 years 6 months ago
Fault Detection and Isolation with Robust Principal Component Analysis
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
Yvon Tharrault, Gilles Mourot, José Ragot, ...
MP
2002
110views more  MP 2002»
15 years 6 months ago
Robust optimization - methodology and applications
Abstract. Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known ...
Aharon Ben-Tal, Arkadi Nemirovski
MVA
2002
215views Computer Vision» more  MVA 2002»
15 years 6 months ago
Robust Tracking Algorithm Based on Color and Edge Distribution for Real-time Video Based Motion Capture Systems
This paper describes a robust tracking algorithm for real-time, video based motion capture systems. Conventional motion capture systems are unable to capture motion data in real t...
Yoshiaki Akazawa, Yoshihiro Okada, Koichi Niijima
ICCV
2011
IEEE
14 years 6 months ago
RECON: Scale-Adaptive Robust Estimation via Residual Consensus
In this paper, we present a novel, threshold-free robust estimation framework capable of efficiently fitting models to contaminated data. While RANSAC and its many variants have...
Rahul Raguram, Jan-Michael Frahm
SDM
2012
SIAM
304views Data Mining» more  SDM 2012»
13 years 9 months ago
Robust Reputation-Based Ranking on Bipartite Rating Networks
With the growth of the Internet and E-commerce, bipartite rating networks are ubiquitous. In such bipartite rating networks, there exist two types of entities: the users and the o...
Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng