Huber loss

Known as: Huber loss function, Huber norm 
In statistics, the Huber loss is a loss function used in robust regression, that is less sensitive to outliers in data than the squared error loss. A… (More)
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Papers overview

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2016
2016
This paper addresses the scalar regression problem through a novel solution to exactly optimize the Huber loss in a general semi… (More)
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2016
2016
In this letter, we consider a class of generalized multivariate Huber (GMH) loss functions. Our goal is parameter estimation in… (More)
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2015
2015
This paper presents a way of using the Iteratively Reweighted Least Squares (IRLS) method to minimize several robust cost… (More)
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2009
2009
In this paper, a new similarity measure for fractal image compression (FIC) is introduced. In the proposed Huber fractal image… (More)
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2009
2009
The presented work is motivated by the problem of restoring severely degraded historic video material via an optical flow-based… (More)
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2008
2008
In this paper a high-resolution (HR) thermal infrared image is reconstructed from a sequence of subpixel shifted, aliased low… (More)
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2003
2003
The “Huber function” (or “Huber norm”) is one of several robust error measures which interpolates between smooth (l 2) treatment… (More)
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Highly Cited
2001
Highly Cited
2001
Nonlinear filtering techniques based on the theory of robust estimation are introduced. Some deterministic and asymptotic… (More)
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2001
2001
In the earthworm Lumbricus terrestris L., mating occurs on the soil surface, but partners remain anchored in their burrow and… (More)
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