Results 81 to 90 of about 306 (149)

Dynamic CPU resource provisioning in virtualized servers using maximum correntropy criterion Kalman filters

, 2017
Virtualized servers have been the key for the efficient deployment of cloud applications. As the application demand increases, it is important to dynamically adjust the CPU allocation of each component in order to save resources for other applications ...
Kalyvianaki, Evangelia, Kyriakos M. Deliparaschos, Evangelia Kalyvianaki, Themistoklis Charalambous, Deliparaschos, Kyriakos M., Charalambous, Themistoklis, Evagoras Makridis, Makridis, Evagoras   +7 more
core   +1 more source

Maximum correntropy unscented filter based on unbiased minimum-variance estimation for a class of nonlinear systems

Frontiers in Physics
Introduction: The unscented Kalman filter based on unbiased minimum-variance (UKF-UMV) estimation is usually used to handle the state estimation problem of nonlinear systems with an unknown input.
Yike Zhang, Ben Niu, Xinmin Song
doaj   +1 more source

Multi-label active learning based on maximum correntropy criterion: Towards robust and discriminative labeling

, 2016
© Springer International Publishing AG 2016. Multi-label learning is a challenging problem in computer vision field. In this paper, we propose a novel active learning approach to reduce the annotation costs greatly for multi-label classification.
Bo Du, Wang, Z, Fang, M, Meng Fang, Zengmao Wang, Dacheng Tao, Lefei Zhang, Du, B, Zhang, L, Tao, D, Liangpei Zhang   +10 more
core   +1 more source

Maximum Correntropy Ensemble Kalman Filter

, 2023
In this article, a robust ensemble Kalman filter (EnKF) called MC-EnKF is proposed for nonlinear state-space model to deal with filtering problems with non-Gaussian observation noises.
Tao, Yangtianze, Kang, Jiayi, Yau, Stephen Shing-Toung   +2 more
core  

Broad Learning System Based on Maximum Correntropy Criterion

, 2019
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.
Zheng, Yunfei, Wang, Shiyuan, Wang, Weiqun, Chen, Badong   +3 more
core  

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

A Robust and Adaptive AUV Integrated Navigation Algorithm Based on a Maximum Correntropy Criterion

In the underwater domain where Autonomous Underwater Vehicles (AUVs) operate, measurements may suffer from the impact of outliers and non-Gaussian noise. These factors can potentially undermine the efficacy of integrated navigation algorithms.
Xiaolin Zhang, Bo He, Ziyun Chen, Tianhong Yan, Pinchi Li, Xiaona Sun   +5 more
core   +1 more source

MAD-based Variable-Center and Variable-Kernel-Width MCC Underwater Acoustic Channel Estimation Method

Tongxin xuebao
To address the limitations of conventional maximum correntropy criterion (MCC) algorithms in non-Gaussian, non-stationary underwater acoustic channels, specifically their dependency on fixed kernel widths and the vulnerability of center estimation to ...
Tang Qi, Liu Ying, Zhou Junyao
doaj  

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

Convergence analysis of hyperparameter-free MCC-based channel estimation for mmWave MIMO systems

Frontiers in Signal Processing
Accurate channel-estimation algorithms are critical for enhancing the throughput of wireless communication systems, including millimetre wave (mmWave) multiple-input multiple-output (MIMO) systems, where precise channel knowledge enables reliable signal ...
Vimal Bhatia, Vimal Bhatia, Vimal Bhatia, Rajat Kumar, Rangeet Mitra, Sandesh Jain, Vidya Bhasker Shukla, K. Venkateswaran, Ondrej Krejcar   +8 more
doaj   +1 more source