Results 41 to 50 of about 708 (167)
Consformer: Consciousness Detection Using Transformer Networks With Correntropy-Based Measures
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Consciousness detection is important in diagnosis and treatment of disorders of consciousness (DOC). Recent studies have demonstrated that electroencephalography (EEG) signals contain effective information for consciousness state evaluation.
Xuyun Sun +5 more
doaj +1 more source
A Feature-Cascaded Correntropy LSTM for Tourists Prediction
IEEE Access, 2021 Forecasting the number of tourists is significant to public safety, which can enable the government to control the sudden influx of tourists timely. The temporal dependence (closeness and period), external factors such as holidays, government policy, as ...
Yuehai Chen +4 more
doaj +1 more source
Correntropy as a Novel Measure for Nonlinearity Tests
The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aysegul Gunduz +2 more
openaire +2 more sources
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
wiley +1 more source
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
doaj +1 more source
Remote Sensing, 2023 In hidden Markov chain (HMC) models, widely used for target tracking, the process noise and measurement noise are in general assumed to be independent and Gaussian for mathematical simplicity.
Guanghua Zhang +5 more
doaj +1 more source
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
wiley +1 more source
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
wiley +1 more source
IET Communications, Volume 20, Issue 1, January/December 2026.This paper addresses channel estimation in mmWave (millimetre wave) hybrid MIMO (multiple‐input multiple‐output) systems impaired by residual transceiver hardware nonidealities, modelled as additive non‐Gaussian noise via Bussgang decomposition. A hyperparameter‐free maximum Versoria criterion (MVC)‐based channel estimator is proposed, featuring a ...
Rangeet Mitra +5 more
wiley +1 more source
Online Gradient Descent for Kernel-Based Maximum Correntropy Criterion
Entropy, 2019 In the framework of statistical learning, we study the online gradient descent algorithm generated by the correntropy-induced losses in Reproducing kernel Hilbert spaces (RKHS).
Baobin Wang, Ting Hu
doaj +1 more source