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SIAMIS
2008
141views more  SIAMIS 2008»
13 years 7 months ago
A Nonlinear Inverse Scale Space Method for a Convex Multiplicative Noise Model
We are motivated by a recently developed nonlinear inverse scale space method for image denoising [5, 6], whereby noise can be removed with minimal degradation. The additive noise ...
Jianing Shi, Stanley Osher
CVPR
2010
IEEE
14 years 4 months ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
AI
2002
Springer
13 years 7 months ago
Multiagent learning using a variable learning rate
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
Michael H. Bowling, Manuela M. Veloso
SAS
1994
Springer
105views Formal Methods» more  SAS 1994»
13 years 11 months ago
Efficient Strictness Analysis of Haskell
Strictness analysis has been a living field of investigation since Mycroft's original work in 1980, and is getting increasingly significant with the still wider use of lazy fu...
Kristian Damm Jensen, Peter Hjæresen, Mads R...
ICASSP
2009
IEEE
14 years 2 months ago
Shrinkage estimation of high dimensional covariance matrices
We address covariance estimation under mean-squared loss in the Gaussian setting. Specifically, we consider shrinkage methods which are suitable for high dimensional problems wit...
Yilun Chen, Ami Wiesel, Alfred O. Hero