Results 91 to 100 of about 1,489 (178)

Regularized Maximum Correntropy Criterion Kalman Filter for Uncalibrated Visual Servoing in the Presence of Non-Gaussian Feature Tracking Noise. [PDF]

Sensors (Basel), 2023
Leite GR, Araújo ÍBQ, Martins AM.
europepmc   +1 more source

Maximum Correntropy Extended Kalman Filtering with Nonlinear Regression Technique for GPS Navigation

Applied Sciences
One technique that is widely used in various fields, including nonlinear target tracking, is the extended Kalman filter (EKF). The well-known minimum mean square error (MMSE) criterion, which performs magnificently under the assumption of Gaussian noise,
Amita Biswal, Dah-Jing Jwo
doaj   +1 more source

An Accurate and Robust Gaze Estimation Method Based on Maximum Correntropy Criterion

IEEE Access, 2019
Accurately estimating the user's gaze is important in many applications, such as human-computer interaction. Due to great convenience, appearance-based methods for gaze estimation have been a popular subject of research for many years.
Ben Yang, Xuetao Zhang, Zhongchang Li, Shaoyi Du, Fei Wang   +4 more
doaj   +1 more source

Method of individual communication transmitter identification based on maximum correntropy

Tongxin xuebao, 2016
To measure the similarity between the fine features of communication transmitters, a method of individual communication transmitter identification based on maximum correntropy was put forward.
Zhe TANG, Ying-ke LEI
doaj   +2 more sources

Performance evaluation of the maximum complex correntropy criterion with adaptive kernel width update

EURASIP Journal on Advances in Signal Processing, 2019
The complex correntropy is a recently defined similarity measure that extends the advantages of conventional correntropy to complex-valued data. As in the real-valued case, the maximum complex correntropy criterion (MCCC) employs a free parameter called ...
Manoel B. L. Aquino, João P. F. Guimarães, Leandro L. S. Linhares, Aluísio I. R. Fontes, Allan M. Martins   +4 more
doaj   +1 more source

Robust sensor selection based on maximum correntropy criterion for ocean data reconstruction

Frontiers in Marine Science
Selecting an optimal subset of sensors that can accurately reconstruct the full state of the ocean can reduce the cost of the monitoring system and improve monitoring efficiency.
Qiannan Zhang, Huafeng Wu, Li’nian Liang, Xiaojun Mei, Jiangfeng Xian   +4 more
doaj   +1 more source

Quaternion recurrent neural network with real-time recurrent learning and maximum correntropy criterion

We develop a robust quaternion recurrent neural network (QRNN) for real-time processing of 3D and 4D data with outliers. This is achieved by combining the real-time recurrent learning (RTRL) algorithm and the maximum correntropy criterion (MCC) as a loss
Bourigault, Pauline, Mandic, Danilo P., Xu, Dongpo   +2 more
core  

Electricity Consumption Forecasting using Support Vector Regression with the Mixture Maximum Correntropy Criterion. [PDF]

Entropy (Basel), 2019
Duan J, Tian X, Ma W, Qiu X, Wang P, An L.   +5 more
europepmc   +1 more source

Maximum correentropy-based robust Square-root Cubature Kalman Filter for vehicular cooperative navigation. [PDF]

Sci Rep, 2023
Sun W, Zhang X, Ding W, Zhang H, Liu A.
europepmc   +1 more source

Variable Bayesian-Based Maximum Correntropy Criterion Cubature Kalman Filter with Application to Target Tracking. [PDF]

Entropy (Basel)
Ma Y, Zhang G, Ye S, An D.
europepmc   +1 more source