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AMCS
2008
146views Mathematics» more  AMCS 2008»
13 years 8 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, ...
ICDAR
2009
IEEE
13 years 5 months ago
Coupled Snakelet Model for Curled Textline Segmentation of Camera-Captured Document Images
Detection of curled textline is important for dewarping of hand-held camera-captured document images. Then baselines and the lines following the top of x-height of characters (x-l...
Syed Saqib Bukhari, Faisal Shafait, Thomas M. Breu...
CSB
2005
IEEE
126views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Discover True Association Rates in Multi-protein Complex Proteomics Data Sets
Experimental processes to collect and process proteomics data are increasingly complex, while the computational methods to assess the quality and significance of these data remain...
Changyu Shen, Lang Li, Jake Yue Chen
NIPS
2007
13 years 9 months ago
Convex Clustering with Exemplar-Based Models
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Danial Lashkari, Polina Golland
BC
2006
44views more  BC 2006»
13 years 8 months ago
Iterative cooperation between parallel pathways for object and background motion
In a typical visual scene, one or more objects move relative to a larger background, which can itself be in motion as a result of the observer's eyes moving with respect to th...
Alireza S. Mahani, Ralf Wessel