نتایج جستجو برای: maximum correntropy

تعداد نتایج: 295103  

Journal: :The Journal of Korean Institute of Communications and Information Sciences 2016

2010
Nanhai Yang Mingming Huang Ran He Xiukun Wang

To deal with the problem of sensitivity to noise in semi-supervised learning for biometrics, this paper proposes a robust Gaussian-Laplacian Regularized (GLR) framework based on maximum correntropy criterion (MCC), called GLR-MCC, along with its convergence analysis. The half quadratic (HQ) optimization technique is used to simplify the correntropy optimization problem to a standard semi-superv...

Journal: :IEEE transactions on neural networks and learning systems 2021

As an effective and efficient discriminative learning method, broad system (BLS) has received increasing attention due to its outstanding performance in various regression classification problems. However, the standard BLS is derived under minimum mean square error (MMSE) criterion, which is, of course, not always a good choice sensitivity outliers. To enhance robustness BLS, we propose this wo...

2007
Jianwu Xu Jose Principe Seungju Han Weifeng Liu Sudhir Rao Il Park Antonio Paiva Rui Yan Mustafa Can Ozturk

of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy NONLINEAR SIGNAL PROCESSING BASED ON REPRODUCING KERNEL HILBERT SPACE By Jianwu Xu December 2007 Chair: Jose C. Principe Major: Electrical and Computer Engineering My research aimed at analyzing the recently proposed correntropy function...

Journal: :Systems & Control Letters 2017
Maria V. Kulikova

Recent developments in the realm of state estimation of stochastic dynamic systems in the presence of non-Gaussian noise have induced a new methodology called the maximum correntropy filtering. The filters designed under the maximum correntropy criterion (MCC) utilize a similarity measure (or correntropy) between two random variables as a cost function. They are shown to improve the estimators’...

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