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AMCS
2008
146views Mathematics» more  AMCS 2008»
13 years 10 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, ...
ESA
2008
Springer
99views Algorithms» more  ESA 2008»
13 years 12 months ago
Robust Kinetic Convex Hulls in 3D
Abstract. Kinetic data structures provide a framework for computing combinatorial properties of continuously moving objects. Although kinetic data structures for many problems have...
Umut A. Acar, Guy E. Blelloch, Kanat Tangwongsan, ...
EUROPAR
2003
Springer
14 years 3 months ago
RECSY - A High Performance Library for Sylvester-Type Matrix Equations
In this presentation, we give an overview of research activities at the Department of Computing Science, Ume˚a University with focus on Scientific, Parallel and High-Performance...
Isak Jonsson, Bo Kågström
VISUALIZATION
2002
IEEE
14 years 3 months ago
Oriented Tensor Reconstruction: Tracing Neural Pathways from Diffusion Tensor MRI
In this paper we develop a new technique for tracing anatomical fibers from 3D tensor fields. The technique extracts salient tensor features using a local regularization techniq...
Leonid Zhukov, Alan H. Barr
ICCV
2011
IEEE
12 years 10 months ago
Latent Low-Rank Representation for Subspace Segmentation and Feature Extraction
Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...
Guangcan Liu, Shuicheng Yan