Results 81 to 90 of about 50,949 (199)

Learning with the maximum correntropy criterion induced losses for regression.

J. Mach. Learn. Res., 2015
sponsorship: EU: The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013)/ERC AdG A-DATADRIVE-B (290923). This paper reflects only the authors' views, the Union is not liable for any use that may be made of the contained information.
Feng, Yunlong, Huang, Xiaolin, Shi, Lei, Yang, Yuning, Suykens, Johan   +4 more
openaire   +2 more sources

Robust rigid registration via maximum correntropy criterion: a novel approach

Scientific Reports
Point set registration is essential for computer vision, pattern recognition and intelligent robotics. Existing registration methods exhibit limited robustness against non-Gaussian noise, outliers and incomplete point clouds in complex engineering ...
Guiqiang Yang, Jucheng Wang, Ting Gao, Rui Li   +3 more
doaj   +1 more source

Weighted maximum mixture complex correntropy-based past algorithm: a novel approach for low-altitude target parameter estimation

Ain Shams Engineering Journal
Aiming at the challenges of strong ground clutter interference, low signal-to-noise ratio, and near-field non-stationary signals in detecting low, slow, and small (LSS) targets in low-altitude environments, this paper proposes a joint parameter ...
Li Li, Tianshuang Qiu
doaj   +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

Combined Cubature Kalman and Smooth Variable Structure Filtering Based on Multi-Kernel Maximum Correntropy Criterion for the Fully Submerged Hydrofoil Craft

Applied Sciences
This paper introduces a novel filter algorithm termed as an MKMC-CSVSF which combined square-root cubature Kalman (SR-CKF) and smooth variable structure filtering (SVSF) under multi-kernel maximum correntropy criterion (MKMC) for accurately estimating ...
Hongmin Niu, Sheng Liu
semanticscholar   +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

Generalized Maximum Correntropy Cubature Kalman Filter with Variational Bayesian for SINS/GPS Integrated Navigation Systems

Sensors
To address the degraded accuracy and poor robustness of Strapdown Inertial Navigation Systems (SINSs)/Global Positioning Systems (GPSs) integrated navigation systems under time-varying non-Gaussian measurement noises, this paper proposes a variational ...
Weisheng Ma, Bin Wei, Xi Liu
doaj   +1 more source

A Novel Hybrid Model Combining Improved VMD and ELM with Extended Maximum Correntropy Criterion for Prediction of Dissolved Gas in Power Transformer Oil

Processes
The prediction of dissolved gas change trends in power transformer oil is very important for the diagnosis of transformer faults and ensuring its safe operation.
Gang Du, Zhenming Sheng, Jiaguo Liu, Yiping Gao, Chunqing Xin, Wentao Ma   +5 more
semanticscholar   +1 more source

Partial maximum correntropy regression for robust electrocorticography decoding. [PDF]

Front Neurosci, 2023
Li Y, Chen B, Wang G, Yoshimura N, Koike Y.   +4 more
europepmc   +1 more source

Sparse-Aware Bias-Compensated Adaptive Filtering Algorithms Using the Maximum Correntropy Criterion for Sparse System Identification with Noisy Input. [PDF]

Entropy (Basel), 2018
Ma W, Zheng D, Zhang Z, Duan J, Qiu J, Hu X.   +5 more
europepmc   +1 more source