Results 141 to 150 of about 3,111 (174)

An Adaptive External Torque Estimation Algorithm for Collision Detection in Robotic Arms. [PDF]

Sensors (Basel)
Yan C, Lyu M, Chen Y, Zhang J.
europepmc   +1 more source

Decoding imagined speech with delay differential analysis. [PDF]

Front Hum Neurosci
Carvalho VR, Mendes EMAM, Fallah A, Sejnowski TJ, Comstock L, Lainscsek C.   +5 more
europepmc   +1 more source

Autoencoder-Based Representation Learning for Similar Patients Retrieval From Electronic Health Records: Comparative Study.

JMIR Med Inform
Li D, Shukla A, Chandaka S, Taylor B, Xu J, Liu M.   +5 more
europepmc   +1 more source

Optimizing solar and wind forecasting with iHow optimization algorithm and multi-scale attention networks. [PDF]

Sci Rep
Radwan M, Ibrahim A, Abdelsalam MM, Alhussan AA, Mattar EA, El-Kenawy EM.   +5 more
europepmc   +1 more source

Non-uniform Fourier transform based image classification in single-particle Cryo-EM. [PDF]

J Struct Biol X
Bai Z, Huang J.
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An Adaptive Unscented Kalman Ilter Integrated Navigation Method Based on the Maximum Versoria Criterion for INS/GNSS Systems. [PDF]

Sensors (Basel)
Zhang J, Feng K, Li J, Zhang C, Wei X.
europepmc   +1 more source

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Correntropy-Based Multiview Subspace Clustering

IEEE Transactions on Cybernetics, 2021
Multiview subspace clustering, which aims to cluster the given data points with information from multiple sources or features into their underlying subspaces, has a wide range of applications in the communities of data mining and pattern recognition. Compared with the single-view subspace clustering, it is challenging to efficiently learn the structure
Lei Xing, Badong Chen, Shaoyi Du, Yuantao Gu, Nanning Zheng   +4 more
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Correntropy Based Matched Filtering

2005 IEEE Workshop on Machine Learning for Signal Processing, 2006
In this paper a non-linear extension to the matched filter is proposed and applied to signal detection. The decision statistic used in this novel method is derived from ideas on kernel-based learning theory and in fact, is a generalization of the correlation statistic used in the matched filter.
P.P. Pokharel, R. Agrawal, J.C. Principe
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Mixture Correntropy-Based Kernel Extreme Learning Machines

IEEE Transactions on Neural Networks and Learning Systems, 2022
Kernel-based extreme learning machine (KELM), as a natural extension of ELM to kernel learning, has achieved outstanding performance in addressing various regression and classification problems. Compared with the basic ELM, KELM has a better generalization ability owing to no needs of the number of hidden nodes given beforehand and random projection ...
Yunfei Zheng, Badong Chen, Shiyuan Wang, Weiqun Wang, Wei Qin   +4 more
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Kernel recursive maximum correntropy

Signal Processing, 2015
In this letter, a robust kernel adaptive algorithm, called the kernel recursive maximum correntropy (KRMC), is derived in kernel space and under the maximum correntropy criterion (MCC). The proposed algorithm is particularly useful for nonlinear and non-Gaussian signal processing, especially when data contain large outliers or disturbed by impulsive ...
Zongze Wu, Jiahao Shi, Xie Zhang, Wentao Ma, Badong Chen   +4 more
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