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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… 
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Related topics

Related topics

11 relations
Additive modelBinary classificationConvex functionEstimation theory

Papers overview

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Highly Cited
2019
Highly Cited
2019
Robust Unscented Kalman Filter for Power System Dynamic State Estimation With Unknown Noise Statistics
Due to the communication channel noises, GPS synchronization process, changing environment temperature and different operating… 
Highly Cited
2015
Highly Cited
2015
Convergence of Iteratively Re-weighted Least Squares to Robust M-Estimators
This paper presents a way of using the Iteratively Reweighted Least Squares (IRLS) method to minimize several robust cost… 
Highly Cited
2012
Highly Cited
2012
Robust Nonnegative Matrix Factorization via Half-Quadratic Minimization
  • Liang DuXuan LiYi-Dong Shen
  • IEEE 12th International Conference on Data Mining
  • 2012
  • Corpus ID: 14250058
Nonnegative matrix factorization (NMF) is a popular technique for learning parts-based representation and data clustering. It… 
Highly Cited
2010
Highly Cited
2010
Robust Kalman Filter Based on a Generalized Maximum-Likelihood-Type Estimator
A new robust Kalman filter is proposed that detects and bounds the influence of outliers in a discrete linear system, including… 
Highly Cited
2009
Highly Cited
2009
Waveform inversion using a back-propagation algorithm and a Huber function norm
Waveforminversionfacesdifficultieswhenappliedtoreal seismic data, including the existence of many kinds of noise. The 1 -norm is… 
2007
2007
Performance Evaluation of Complex Valued Neural Networks Using Various Error Functions
— The backpropagation algorithm in general employs quadratic error function. In fact, most of the problems that involve… 
Highly Cited
2004
Highly Cited
2004
A recursive least M-estimate algorithm for robust adaptive filtering in impulsive noise: fast algorithm and convergence performance analysis
This paper studies the problem of robust adaptive filtering in impulsive noise environment using a recursive least M-estimate… 
Highly Cited
2002
Highly Cited
2002
A model of the geomagnetic field and its secular variation for epoch 2000 estimated from Ørsted data
Summary The availability of high-precision geomagnetic measurements from satellites such as Orsted and CHAMP opens a new era… 
Highly Cited
1998
Highly Cited
1998
Close-Form Solution and Parameter Selection for Convex Minimization-Based Edge-Preserving Smoothing
This work presents a new approach for the analysis of convex minimization-based edge-preserving image smoothing and the parameter… 
Highly Cited
1996
Highly Cited
1996
Do mediated contexts differ in information richness? A comparison of collocated and dispersed meetings
Examines the question of whether or not media differ in the perceptions they generate among users with respect to social presence… 
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