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» Denoising using local projective subspace methods
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ICIP
2009
IEEE
15 years 10 months ago
Multilateral Filtering: A Novel Framework For Generic Similarity-based Image Denoising
We present a novel iterative nonlinear filtering framework, termed multilateral filtering, based on the idea of generic local similarity. A set of local features is computed for e...
CIKM
2008
Springer
14 years 11 months ago
REDUS: finding reducible subspaces in high dimensional data
Finding latent patterns in high dimensional data is an important research problem with numerous applications. The most well known approaches for high dimensional data analysis are...
Xiang Zhang, Feng Pan, Wei Wang 0010
CVPR
2012
IEEE
13 years 3 months ago
Foreground Detection Using Spatiotemporal Projection Kernels
Foreground detection is at the core of many video processing tasks. In this paper, we propose a novel video foreground detection method that exploits the statistics of 3D space-tim...
Y. Moshe, H. Hel-Or, and Y. Hel-Or
ICIP
2004
IEEE
15 years 11 months ago
Least-squares interband denoising of color and multispectral images
This paper exploits the interband correlations of color and multispectral images for wavelet-based denoising. For this, a multispectral extension of the linear minimum mean square...
Paul Scheunders, Jef Driesen
78
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ICASSP
2008
IEEE
15 years 4 months ago
A study of using locality preserving projections for feature extraction in speech recognition
This paper presents a new approach to feature analysis in automatic speech recognition (ASR) based on locality preserving projections (LPP). LPP is a manifold based dimensionality...
Yun Tang, Richard Rose