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ICCV
2009
IEEE
1119views Computer Vision» more  ICCV 2009»
16 years 3 months ago
Spectral clustering of linear subspaces for motion segmentation
This paper studies automatic segmentation of multiple motions from tracked feature points through spectral embedding and clustering of linear subspaces. We show that the dimensi...
Fabien Lauer, Christoph Schn¨orr
ICPR
2008
IEEE
15 years 11 months ago
Impulse noise removal by spectral clustering and regularization on graphs
In this paper we present a method for impulse noise removal that makes use of spectral clustering and graph regularization. The image is modeled as a graph and local spectral anal...
Olivier Lezoray, Vinh-Thong Ta, Abderrahim Elmoata...
ESANN
2008
14 years 11 months ago
Linear Projection based on Noise Variance Estimation - Application to Spectral Data
In this paper, we propose a new methodology to build latent variables that are optimal if a nonlinear model is used afterward. This method is based on Nonparametric Noise Estimatio...
Amaury Lendasse, Francesco Corona
ICASSP
2011
IEEE
14 years 1 months ago
Fast algorithms for Iterative Adaptive Approach spectral estimation techniques
This paper presents computationally efficient implementations for Iterative Adaptive Approach (IAA) spectral estimation techniques for uniformly sampled data sets. By exploiting ...
George-Othon Glentis, Andreas Jakobsson
ICCAD
2002
IEEE
107views Hardware» more  ICCAD 2002»
15 years 7 months ago
Characteristic faults and spectral information for logic BIST
We present a new method of built-in-self-test (BIST) for sequential circuits and system-on-a-chip (SOC) using characteristic faults and circuitspecific spectral information in th...
Xiaoding Chen, Michael S. Hsiao