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Transfer Learning: A Riemannian Geometry Framework With Applications to Brain-Computer Interfaces
Transfer Learning: A Riemannian Geometry Framework With Applications to Brain-Computer Interfaces
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Transfer Learning: A Riemannian Geometry Framework With Applications to Brain-Computer Interfaces

Zanini, Paolo ; Congedo, Marco ; Jutten, Christian ; Said, Salem ; Berthoumieu, Yannick

IEEE transactions on biomedical engineering, 2018-05, Vol.65 (5), p.1107-1116 [Periódico revisado por pares]

United States: IEEE

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2
EEG Signal Processing in MI-BCI Applications With Improved Covariance Matrix Estimators
EEG Signal Processing in MI-BCI Applications With Improved Covariance Matrix Estimators
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EEG Signal Processing in MI-BCI Applications With Improved Covariance Matrix Estimators

Olias, Javier ; Martin-Clemente, Ruben ; Sarmiento-Vega, M. Auxiliadora ; Cruces, Sergio

IEEE transactions on neural systems and rehabilitation engineering, 2019-05, Vol.27 (5), p.895-904 [Periódico revisado por pares]

United States: IEEE

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3
Structural Minimax Probability Machine
Structural Minimax Probability Machine
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Structural Minimax Probability Machine

Bin Gu ; Xingming Sun ; Sheng, Victor S.

IEEE transaction on neural networks and learning systems, 2017-07, Vol.28 (7), p.1646-1656

United States: IEEE

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Attentively Learning Edge Distributions for Semantic Segmentation of Remote Sensing Imagery
Attentively Learning Edge Distributions for Semantic Segmentation of Remote Sensing Imagery
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Attentively Learning Edge Distributions for Semantic Segmentation of Remote Sensing Imagery

Li, Xin ; Li, Tao ; Chen, Ziqi ; Zhang, Kaiwen ; Xia, Runliang

Remote sensing (Basel, Switzerland), 2022-01, Vol.14 (1), p.102 [Periódico revisado por pares]

Basel: MDPI AG

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5
Error Covariance Penalized Regression: A novel multivariate model combining penalized regression with multivariate error structure
Error Covariance Penalized Regression: A novel multivariate model combining penalized regression with multivariate error structure
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Error Covariance Penalized Regression: A novel multivariate model combining penalized regression with multivariate error structure

Allegrini, Franco ; Braga, Jez W.B. ; Moreira, Alessandro C.O. ; Olivieri, Alejandro C.

Analytica chimica acta, 2018-06, Vol.1011, p.20-27 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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6
Adaptive Brain Activity Detection in Structured Interference and Partially Homogeneous Locally Correlated Disturbance
Adaptive Brain Activity Detection in Structured Interference and Partially Homogeneous Locally Correlated Disturbance
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Adaptive Brain Activity Detection in Structured Interference and Partially Homogeneous Locally Correlated Disturbance

Rekavandi, Aref Miri ; Seghouane, Abd-Krim ; Evans, Robin J.

IEEE transactions on biomedical engineering, 2022-10, Vol.69 (10), p.3064-3073 [Periódico revisado por pares]

United States: IEEE

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7
Clutter Covariance Matrix Estimation for Radar Adaptive Detection Based on a Complex-Valued Convolutional Neural Network
Clutter Covariance Matrix Estimation for Radar Adaptive Detection Based on a Complex-Valued Convolutional Neural Network
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Clutter Covariance Matrix Estimation for Radar Adaptive Detection Based on a Complex-Valued Convolutional Neural Network

Kang, Naixin ; Shang, Zheran ; Liu, Weijian ; Huang, Xiaotao

Remote sensing (Basel, Switzerland), 2023-11, Vol.15 (22), p.5367 [Periódico revisado por pares]

Basel: MDPI AG

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8
A Robust Adaptive Extended Kalman Filter Based on an Improved Measurement Noise Covariance Matrix for the Monitoring and Isolation of Abnormal Disturbances in GNSS/INS Vehicle Navigation
A Robust Adaptive Extended Kalman Filter Based on an Improved Measurement Noise Covariance Matrix for the Monitoring and Isolation of Abnormal Disturbances in GNSS/INS Vehicle Navigation
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A Robust Adaptive Extended Kalman Filter Based on an Improved Measurement Noise Covariance Matrix for the Monitoring and Isolation of Abnormal Disturbances in GNSS/INS Vehicle Navigation

Yin, Zhihui ; Yang, Jichao ; Ma, Yue ; Wang, Shengli ; Chai, Dashuai ; Cui, Haonan

Remote sensing (Basel, Switzerland), 2023-09, Vol.15 (17), p.4125 [Periódico revisado por pares]

Basel: MDPI AG

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9
Nonparametric Bayesian Correlated Group Regression With Applications to Image Classification
Nonparametric Bayesian Correlated Group Regression With Applications to Image Classification
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Nonparametric Bayesian Correlated Group Regression With Applications to Image Classification

Luo, Lei ; Yang, Jian ; Zhang, Bob ; Jiang, Jielin ; Huang, Heng

IEEE transaction on neural networks and learning systems, 2018-11, Vol.29 (11), p.5330-5344

United States: IEEE

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10
Estimating Control Points for B-Spline Surfaces Using Fully Populated Synthetic Variance–Covariance Matrices for TLS Point Clouds
Estimating Control Points for B-Spline Surfaces Using Fully Populated Synthetic Variance–Covariance Matrices for TLS Point Clouds
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Estimating Control Points for B-Spline Surfaces Using Fully Populated Synthetic Variance–Covariance Matrices for TLS Point Clouds

Raschhofer, Jakob ; Kerekes, Gabriel ; Harmening, Corinna ; Neuner, Hans ; Schwieger, Volker

Remote sensing (Basel, Switzerland), 2021-08, Vol.13 (16), p.3124 [Periódico revisado por pares]

Basel: MDPI AG

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