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» Robust kernel density estimation
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PRL
2002
106views more  PRL 2002»
13 years 9 months ago
Kernel density estimation with adaptive varying window size
A new method of kernel density estimation with a varying adaptive window size is proposed. It is based on the socalled intersection of confidence intervals (ICI) rule. Several exa...
Vladimir Katkovnik, Ilya Shmulevich
ECCV
2010
Springer
14 years 3 months ago
Single Image Deblurring Using Motion Density Functions
Abstract. We present a novel single image deblurring method to estimate spatially non-uniform blur that results from camera shake. We use existing spatially invariant deconvolution...
IJCNN
2007
IEEE
14 years 4 months ago
Probability Density Function Estimation Using Orthogonal Forward Regression
— Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression tec...
Sheng Chen, Xia Hong, Chris J. Harris
ICIP
2006
IEEE
14 years 11 months ago
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
ICIC
2007
Springer
14 years 4 months ago
A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression
Abstract. Using the classical Parzen window (PW) estimate as the target function, the sparse kernel density estimator is constructed in a forward constrained regression manner. The...
Xia Hong, Sheng Chen, Chris Harris