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CORR
2012
Springer
225views Education» more  CORR 2012»
13 years 7 months ago
Compressive Principal Component Pursuit
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
John Wright, Arvind Ganesh, Kerui Min, Yi Ma
ICIP
2008
IEEE
16 years 1 months ago
Principal components for non-local means image denoising
This paper presents an image denoising algorithm that uses principal component analysis (PCA) in conjunction with the non-local means image denoising. Image neighborhood vectors u...
Tolga Tasdizen
SSR
2001
134views more  SSR 2001»
15 years 1 months ago
Generation of visitor components that implement program transformations
The visitor pattern is appealing to developers of program-analysis tools because it separates the design of the data structures that represent a program from the design of softwar...
Kurt Stirewalt, Laura K. Dillon
SDM
2009
SIAM
130views Data Mining» more  SDM 2009»
15 years 9 months ago
FuncICA for Time Series Pattern Discovery.
We introduce FuncICA, a new independent component analysis method for pattern discovery in inherently functional data, such as time series data. FuncICA can be considered an analo...
Alexander Gray, Nishant Mehta
ICDAR
2005
IEEE
15 years 5 months ago
Camera-based Degraded Character Segmentation into Individual Components
In this article we present a novel fully automatic character segmentation for camera-based images. This is a top-down approach inspired by the human visual system: the high level ...
Céline Mancas-Thillou, Matei Mancas, Bernar...