Deformable Surface Registration with Extreme Learning Machines

Proceedings in Adaptation, Learning and Optimization - Proceedings of ELM-2017 ◽

10.1007/978-3-030-01520-6_28 ◽

2018 ◽

pp. 304-316 ◽

Author(s):

Andrey Gritsenko ◽

Zhiyu Sun ◽

Stephen Baek ◽

Yoan Miche ◽

Renjie Hu ◽

...

Keyword(s):

Surface Registration ◽

Extreme Learning Machines ◽

Learning Machines ◽

Deformable Surface

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Extreme Learning Machines and Particle Swarm Optimization for Induction Motor Faults Detection and Classification

International Review of Electrical Engineering (IREE) ◽

10.15866/iree.v10i4.7048 ◽

2015 ◽

Vol 10 (4) ◽

pp. 501

Author(s):

Smail Bazi ◽

M. S. Nait Said

Keyword(s):

Particle Swarm Optimization ◽

Induction Motor ◽

Particle Swarm ◽

Extreme Learning Machines ◽

Swarm Optimization ◽

Learning Machines

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Algoritmo Baseado Em Cardumes De Peixes Modificado Para A Otimização De Extreme Learning Machines

10.21528/cbic2011-32.2 ◽

2016 ◽

Author(s):

João Fausto Lorenzato de Oliveira ◽

Teresa B. Ludermir

Keyword(s):

Extreme Learning Machines ◽

Learning Machines

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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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Cooperative Spectrum Sensing Using Extreme Learning Machines for Cognitive Radio Networks

IETE Technical Review ◽

10.1080/02564602.2021.1896979 ◽

2021 ◽

pp. 1-15

Author(s):

Manish Kumar Giri ◽

Saikat Majumder

Keyword(s):

Cognitive Radio ◽

Spectrum Sensing ◽

Cognitive Radio Networks ◽

Cooperative Spectrum Sensing ◽

Radio Networks ◽

Extreme Learning Machines ◽

Learning Machines

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Extreme learning machines’ ensemble selection with GRASP

Applied Intelligence ◽

10.1007/s10489-015-0653-2 ◽

2015 ◽

Vol 43 (2) ◽

pp. 439-459 ◽

Author(s):

Ting Zhang ◽

Qun Dai ◽

Zhongchen Ma

Keyword(s):

Extreme Learning Machines ◽

Learning Machines ◽

Ensemble Selection

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Domain Adaptation Extreme Learning Machines for Drift Compensation in E-Nose Systems

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2014.2367775 ◽

2015 ◽

Vol 64 (7) ◽

pp. 1790-1801 ◽

Author(s):

Lei Zhang ◽

David Zhang

Keyword(s):

Domain Adaptation ◽

Extreme Learning Machines ◽

Learning Machines ◽

Drift Compensation

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Local extreme learning machines and domain decomposition for solving linear and nonlinear partial differential equations

Computer Methods in Applied Mechanics and Engineering ◽

10.1016/j.cma.2021.114129 ◽

2021 ◽

Vol 387 ◽

pp. 114129

Author(s):

Suchuan Dong ◽

Zongwei Li

Keyword(s):

Partial Differential Equations ◽

Differential Equations ◽

Domain Decomposition ◽

Nonlinear Partial Differential Equations ◽

Extreme Learning Machines ◽

Partial Differential ◽

Learning Machines ◽

Linear And Nonlinear ◽

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Opportunities in Quantum Reservoir Computing and Extreme Learning Machines

Advanced Quantum Technologies ◽

10.1002/qute.202100027 ◽

2021 ◽

pp. 2100027

Author(s):

Pere Mujal ◽

Rodrigo Martínez‐Peña ◽

Johannes Nokkala ◽

Jorge García‐Beni ◽

Gian Luca Giorgi ◽

...

Keyword(s):

Reservoir Computing ◽

Extreme Learning Machines ◽

Learning Machines

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Route Prediction in Software Defined Networks Using Ensemble Extreme Learning Machines

10.1109/ictc52510.2021.9621023 ◽

2021 ◽

Author(s):

Sowmya Sanagavarapu ◽

Sashank Sridhar

Keyword(s):

Software Defined Networks ◽

Extreme Learning Machines ◽

Learning Machines ◽

Route Prediction

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Tensor Decomposition Based Approach for Training Extreme Learning Machines

Big Data Research ◽

10.1016/j.bdr.2017.07.002 ◽

2017 ◽

Vol 10 ◽

pp. 8-20 ◽

Author(s):

Nikhitha K. Nair ◽

S. Asharaf

Keyword(s):

Tensor Decomposition ◽

Extreme Learning Machines ◽

Learning Machines

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