Results 41 to 50 of about 543 (157)
Information, 2023 This paper addresses the multi-sensor fusion target tracking problem based on maximum mixture correntropy in non-Gaussian noise environments exclusively using Doppler measurements.
Changyu Yi, Minzhe Li, Shuyi Li
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Kernel adaptive filtering with maximum correntropy criterion [PDF]
The 2011 International Joint Conference on Neural Networks, 2011 Kernel adaptive filters have drawn increasing attention due to their advantages such as universal nonlinear approximation with universal kernels, linearity and convexity in Reproducing Kernel Hilbert Space (RKHS). Among them, the kernel least mean square (KLMS) algorithm deserves particular attention because of its simplicity and sequential learning ...
Songlin Zhao +2 more
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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 +4 more
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An Adaptive Channel Estimation Based on Fixed-Point Generalized Maximum Correntropy Criterion
IEEE Access, 2020 Many conventional adaptive channel estimation methods are based on minimum mean square error (MMSE) criterion, maximum correntropy criterion (MCC) or least p-norm criterion.
Pengcheng Yue +3 more
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Robust Partial Multi‐Label Learning Under Dual Noise via Joint Subspace Learning
CAAI Transactions on Intelligence Technology, Volume 11, Issue 3, Page 754-768, June 2026.ABSTRACT Partial Multi‐label Learning (PML) deals with the ambiguity where each instance is annotated with a set of candidate labels, and only a subset of which is valid. While existing PML methods focus primarily on label disambiguation, they often rely on the assumption of a clean feature space.
Yuanjian Zhang +4 more
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Evidence of Physiological Comodulation During Human–Animal Interaction: A Systematic Review
Annals of the New York Academy of Sciences, Volume 1560, Issue 1, June 2026.From thirty‐seven studies on physiological comodulation in human–animal interaction, dogs and horses emerged as the most studied species, primarily in therapeutic and companionship settings. Cardiac and hormonal signals dominated the analyses, with correlation methods prevailing.
Ginevra Bargigli +5 more
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Journal of Experimental Orthopaedics, Volume 13, Issue 2, April 2026.Abstract Purpose This scoping review aims to map and evaluate the current body of literature on the use of extended reality (XR), including virtual reality (VR), augmented reality (AR) and mixed reality (MR), in the field of knee arthroplasty. There is a high global prevalence of knee osteoarthritis, and the frequency of knee replacement surgeries is ...
Ritesh Zun Xiong Deo +3 more
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Entropy, 2019 A novel robust proportionate affine projection (AP) algorithm is devised for estimating sparse channels, which often occur in network echo and wireless communication channels.
Zhengxiong Jiang +2 more
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Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies
Expert Systems, Volume 43, Issue 2, February 2026.ABSTRACT As benchmark image datasets expand in sample size and feature complexity, the challenge of managing increased dimensionality becomes apparent. Contrary to the expectation that more features equate to enhanced information and improved outcomes, the curse of dimensionality often hampers performance.
J. Guzmán Figueira‐Domínguez +2 more
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Robust Maximum Correntropy Kalman Filter
International Journal of Robust and Nonlinear ControlABSTRACTThe Kalman filter provides an optimal estimation for a linear system with Gaussian noise. However, when the noises are non‐Gaussian in nature, its performance deteriorates rapidly. For non‐Gaussian noises, maximum correntropy Kalman filter (MCKF) is developed which provides a more accurate result.
Joydeb Saha, Shovan Bhaumik
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