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» An Efficient Method for the Removal of Impulse Noise
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ICIP
2010
IEEE
13 years 6 months ago
A game theoretical approach for image denoising
How to adaptively choose optimal neighborhoods is very important to pixel-domain image denoising algorithms since too many neighborhoods may cause over-smooth artifacts and too fe...
Yan Chen, K. J. Ray Liu
ICIP
2010
IEEE
13 years 6 months ago
The 2D orientation is unique through principal moments analysis
When comparing 2D shapes, a key issue is their normalization. Translation and scale are easily taken care of by removing the mean and normalizing the energy. However, defining and...
João F. P. Crespo, Pedro M. Q. Aguiar
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 10 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
IJCV
2002
157views more  IJCV 2002»
13 years 8 months ago
Estimation of Error in Curvature Computation on Multi-Scale Free-Form Surfaces
A novel technique for multi-scale curvature computation on a free-form 3-D surface is presented. This is achieved by convolving local parametrisations of the surface with 2-D Gauss...
Farzin Mokhtarian, Nasser Khalili, Peter Yuen
CVPR
2008
IEEE
14 years 10 months ago
Dimensionality reduction using covariance operator inverse regression
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
Minyoung Kim, Vladimir Pavlovic