Quantized Kernel Learning Filter with Maximum Mixture Correntropy Criterion

Lecture Notes in Electrical Engineering - Proceedings of 2019 Chinese Intelligent Automation Conference ◽

10.1007/978-981-32-9050-1_73 ◽

2019 ◽

pp. 647-655

Author(s):

Lin Chu ◽

Wenling Li

Keyword(s):

Kernel Learning

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Robust Subspace Clustering Based on Automatic Weighted Multiple Kernel Learning

Information Sciences ◽

10.1016/j.ins.2021.05.070 ◽

2021 ◽

Author(s):

Guo ◽

Xiaoqian Zhang ◽

Zhigui Liu ◽

Xuqian Xue ◽

Qian Wang ◽

...

Keyword(s):

Multiple Kernel Learning ◽

Subspace Clustering ◽

Kernel Learning ◽

Multiple Kernel

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Efficient Multitask Multiple Kernel Learning With Application to Cancer Research

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2021.3052357 ◽

2021 ◽

pp. 1-13

Author(s):

Arezou Rahimi ◽

Mehmet Gonen

Keyword(s):

Cancer Research ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Multiple Kernel

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Correction to: Deep kernel learning in extreme learning machines

Pattern Analysis and Applications ◽

10.1007/s10044-020-00944-y ◽

2021 ◽

Author(s):

A. L. Afzal ◽

Nikhitha K. Nair ◽

S. Asharaf

Keyword(s):

Kernel Learning ◽

Extreme Learning Machines ◽

Learning Machines

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Multiple Kernel Learning via Ensemble Artifice in Reproducing Kernel Hilbert Space

2020 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) ◽

10.1109/cyberc49757.2020.00049 ◽

2020 ◽

Author(s):

Kou Lu ◽

Jiajing Zhao ◽

Jianming Zhang ◽

Cheng Qin

Keyword(s):

Hilbert Space ◽

Reproducing Kernel ◽

Reproducing Kernel Hilbert Space ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Multiple Kernel

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Improved atmospheric weighted mean temperature modeling using sparse kernel learning

GPS Solutions ◽

10.1007/s10291-020-01061-3 ◽

2021 ◽

Vol 25 (1) ◽

Author(s):

Liu Yang ◽

Guobin Chang ◽

Nijia Qian ◽

Jingxiang Gao

Keyword(s):

Kernel Learning ◽

Weighted Mean ◽

Temperature Modeling ◽

Mean Temperature ◽

Weighted Mean Temperature ◽

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Multiple Kernel Learning With Minority Oversampling for Classifying Imbalanced Data

IEEE Access ◽

10.1109/access.2020.3046604 ◽

2021 ◽

Vol 9 ◽

pp. 565-580

Author(s):

Ling Wang ◽

Hongqiao Wang ◽

Guangyuan Fu

Keyword(s):

Multiple Kernel Learning ◽

Imbalanced Data ◽

Kernel Learning ◽

Multiple Kernel

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Vehicle's Instantaneous Velocity Reconstruction by Combining GNSS Doppler and Carrier Phase Measurements through Tikhonov Regularized Kernel Learning

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2021.3076056 ◽

2021 ◽

pp. 1-1

Author(s):

Nijia Qian ◽

Guobin Chang ◽

Jingxiang Gao ◽

Cheng Pan ◽

Liu Yang ◽

...

Keyword(s):

Carrier Phase ◽

Instantaneous Velocity ◽

Kernel Learning ◽

Phase Measurements

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Robust Multiple Kernel Subspace Clustering Based on Low Rank Consensus Kernel Learning

Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering ◽

10.1145/3443467.3443824 ◽

2020 ◽

Author(s):

Qin Liang ◽

Xiaoqian Zhang ◽

Liang Luo

Keyword(s):

Subspace Clustering ◽

Low Rank ◽

Kernel Learning ◽

Multiple Kernel

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A food image recognition system with Multiple Kernel Learning

2009 16th IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2009.5413400 ◽

2009 ◽

Author(s):

Taichi Joutou ◽

Keiji Yanai

Keyword(s):

Image Recognition ◽

Multiple Kernel Learning ◽

Recognition System ◽

Kernel Learning ◽

Multiple Kernel ◽

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A new sparse multiple-kernel learning method for classification of hyperspectral imagery

2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) ◽

10.1109/whispers.2013.8080695 ◽

2013 ◽

Author(s):

Yanfeng Gu ◽

Kai Feng ◽

Hong Wang

Keyword(s):

Hyperspectral Imagery ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Learning Method ◽

Multiple Kernel

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