Results 21 to 30 of about 50,949 (199)
Augmented Maximum Correntropy Criterion for Robust Geometric Perception
IEEE Transactions on RoboticsMaximum correntropy criterion (MCC) is a robust and powerful technique to handle heavy-tailed nonGaussian noise, which has many applications in the fields of vision, signal processing, machine learning, etc.
Jiayuan Li +3 more
semanticscholar +2 more sources
Entropy, 2017 A soft parameter function penalized normalized maximum correntropy criterion (SPF-NMCC) algorithm is proposed for sparse system identification. The proposed SPF-NMCC algorithm is derived on the basis of the normalized adaptive filter theory, the maximum ...
Yingsong Li +3 more
doaj +3 more sources
Adaptive Robust Unscented Kalman Filter via Fading Factor and Maximum Correntropy Criterion [PDF]
Sensors, 2018 Yuanqing Xia +2 more
exaly +2 more sources
Electricity Consumption Forecasting using Support Vector Regression with the Mixture Maximum Correntropy Criterion [PDF]
Entropy, 2019 Wentao Ma, Duan Jiandong, Ma Wentao
exaly +2 more sources
Robust Motion Averaging under Maximum Correntropy Criterion [PDF]
2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 Recently, the motion averaging method has been introduced as an effective means to solve the multi-view registration problem. This method aims to recover global motions from a set of relative motions, where the original method is sensitive to outliers due to using the Frobenius norm error in the optimization.
Jihua Zhu +5 more
openaire +1 more source
KPCA Based Novelty Detection Method Using Maximum Correntropy Criterion [PDF]
Jisuanji kexue, 2022 Novelty detection is an important research issue in the field of machine learning.Till now,there exist lots of novelty detection approaches.As a commonly used kernel method,kernel principal component analysis(KPCA)has been successfully applied to deal ...
LI Qi-ye, XING Hong-jie
doaj +1 more source
Broad Learning System Based on Maximum Correntropy Criterion [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2021 As an effective and efficient discriminative learning method, Broad Learning System (BLS) has received increasing attention due to its outstanding performance in various regression and classification problems. However, the standard BLS is derived under the minimum mean square error (MMSE) criterion, which is, of course, not always a good choice due to ...
Yunfei Zheng +3 more
openaire +3 more sources
ADMM for maximum correntropy criterion [PDF]
2016 International Joint Conference on Neural Networks (IJCNN), 2016 The correntropy provides a robust criterion for outlier-insensitive machine learning, and its maximisation has been increasingly investigated in signal and image processing. In this paper, we investigate the problem of unmixing hyperspectral images, namely decomposing each pixel/spectrum of a given image as a linear combination of other pixels/spectra ...
Zhu, Fei +4 more
openaire +3 more sources
Remote Sensing, 2022 To improve the accuracy of the maximum correntropy Kalman filter (MCKF) in wireless sensors networks (WSNs) positioning, a dynamic self-tuning maximum correntropy Kalman filter (DSTMCKF) is proposed, where innovation and the sensors information of the ...
Tianrui Liao +4 more
doaj +1 more source
Maximum Total Improper Complex Correntropy Algorithm for Widely Linear Adaptive Filtering
IEEE Access, 2022 The maximum total complex correntropy (MTCC) algorithm improves the performance of adaptive filtering under the error in variable (EIV) model by integrating both input and output noise information into the total complex correntropy.
Lianqing Fu, Li Zhou
doaj +1 more source