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» Quadratic minimisation problems in statistics
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IJCV
2006
107views more  IJCV 2006»
13 years 5 months ago
Image Deblurring in the Presence of Impulsive Noise
Consider the problem of image deblurring in the presence of impulsive noise. Standard image deconvolution methods rely on the Gaussian noise model and do not perform well with imp...
Leah Bar, Nahum Kiryati, Nir A. Sochen
TNN
2008
97views more  TNN 2008»
13 years 5 months ago
Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm
Hard-margin support vector machines (HM-SVMs) suffer from getting overfitting in the presence of noise. Soft-margin SVMs deal with this problem by introducing a regularization term...
Liefeng Bo, Ling Wang, Licheng Jiao
SIAMMAX
2011
141views more  SIAMMAX 2011»
12 years 8 months ago
Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme
Higher-order tensors are used in many application fields, such as statistics, signal processing, and scientific computing. Efficient and reliable algorithms for manipulating thes...
Mariya Ishteva, Pierre-Antoine Absil, Sabine Van H...
ICPR
2000
IEEE
14 years 6 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
IOR
2006
91views more  IOR 2006»
13 years 5 months ago
Robust One-Period Option Hedging
The paper considers robust optimization to cope with uncertainty about the stock return process in one period option hedging problems. The robust approach relates portfolio choice ...
Frank Lutgens, Jos F. Sturm, Antoon Kolen