14.2.19 Extreme Learning Machine, ELM

Chapter Contents (Back)
Extreme Learning Machines. ELM.

Zhu, Q.Y.[Qin-Yu], Qin, A.K., Suganthan, P.N., Huang, G.B.[Guang-Bin],
Evolutionary extreme learning machine,
PR(38), No. 10, October 2005, pp. 1759-1763.
Elsevier DOI 0508
BibRef

Chen, C.[Chen], Li, W.[Wei], Su, H.J.[Hong-Jun], Liu, K.[Kui],
Spectral-Spatial Classification of Hyperspectral Image Based on Kernel Extreme Learning Machine,
RS(6), No. 6, 2014, pp. 5795-5814.
DOI Link 1407
BibRef

Riccardi, A., Fernandez-Navarro, F., Carloni, S.,
Cost-Sensitive AdaBoost Algorithm for Ordinal Regression Based on Extreme Learning Machine,
Cyber(44), No. 10, October 2014, pp. 1898-1909.
IEEE DOI 1410
learning (artificial intelligence) BibRef

Lopes, N.[Noel], Ribeiro, B.[Bernardete],
Towards adaptive learning with improved convergence of deep belief networks on graphics processing units,
PR(47), No. 1, 2014, pp. 114-127.
Elsevier DOI 1310
BibRef
And: A2, A2:
Extreme Learning Classifier with Deep Concepts,
CIARP13(I:182-189).
Springer DOI 1311
Deep learning BibRef

Li, J.J.[Jiao-Jiao], Xi, B.B.[Bo-Bo], Du, Q.[Qian], Song, R.[Rui], Li, Y.S.[Yun-Song], Ren, G.B.[Guang-Bo],
Deep Kernel Extreme-Learning Machine for the Spectral-Spatial Classification of Hyperspectral Imagery,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Li, W.[Wei], Chen, C.[Chen], Su, H.J.[Hong-Jun], Du, Q.[Qian],
Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification,
GeoRS(53), No. 7, July 2015, pp. 3681-3693.
IEEE DOI 1503
Educational institutions BibRef

Ye, Y.B.[Yi-Bin], Qin, Y.[Yang],
QR factorization based Incremental Extreme Learning Machine with growth of hidden nodes,
PRL(65), No. 1, 2015, pp. 177-183.
Elsevier DOI 1511
Extreme Learning Machine(ELM) BibRef

Xu, X.Z.[Xin-Zheng], Wang, G.Y.[Guan-Ying], Ding, S.F.[Shi-Fei], Jiang, X.Y.[Xiang-Ying], Zhao, Z.P.[Zuo-Peng],
A new method for constructing granular neural networks based on rule extraction and extreme learning machine,
PRL(67, Part 2), No. 1, 2015, pp. 138-144.
Elsevier DOI 1512
Granular neural networks BibRef

Shen, Q.[Qing], Ban, X.J.[Xiao-Juan], Liu, R.[Ruoyi], Wang, Y.[Yu],
Decay-weighted extreme learning machine for balance and optimization learning,
MVA(28), No. 7, October 2017, pp. 743-753.
WWW Link. 1710
BibRef

Zhang, Y.S.[Yong-Shan], Wu, J.[Jia], Zhou, C.[Chuan], Cai, Z.H.[Zhi-Hua],
Instance cloned extreme learning machine,
PR(68), No. 1, 2017, pp. 52-65.
Elsevier DOI 1704
Extreme Learning Machine BibRef

Li, W.[Wei], Wu, G.D.[Guo-Dong], Zhang, F.[Fan], Du, Q.[Qian],
Hyperspectral Image Classification Using Deep Pixel-Pair Features,
GeoRS(55), No. 2, February 2017, pp. 844-853.
IEEE DOI 1702
hyperspectral imaging BibRef

Cvetkovic, S.[Stevica], Stojanovic, M.B.[Miloš B.], Nikolic, S.V.[Saša V.],
Multi-channel descriptors and ensemble of Extreme Learning Machines for classification of remote sensing images,
SP:IC(39, Part A), No. 1, 2015, pp. 111-120.
Elsevier DOI 1512
Scene classification BibRef

Quispe, A.M.[Arturo Mendoza], Petitjean, C.[Caroline], Heutte, L.[Laurent],
Extreme learning machine for out-of-sample extension in Laplacian eigenmaps,
PRL(74), No. 1, 2016, pp. 68-73.
Elsevier DOI 1604
Dimensionality reduction BibRef

Kasun, L.L.C., Yang, Y., Huang, G.B., Zhang, Z.,
Dimension Reduction With Extreme Learning Machine,
IP(25), No. 8, August 2016, pp. 3906-3918.
IEEE DOI 1608
Additives BibRef

Zhang, L., Zhang, D.,
Robust Visual Knowledge Transfer via Extreme Learning Machine-Based Domain Adaptation,
IP(25), No. 10, October 2016, pp. 4959-4973.
IEEE DOI 1610
image classification BibRef

Zhang, Y.S.[Yong-Shan], Wu, J.[Jia], Cai, Z.H.[Zhi-Hua], Zhang, P.[Peng], Chen, L.[Ling],
Memetic Extreme Learning Machine,
PR(58), No. 1, 2016, pp. 135-148.
Elsevier DOI 1606
Extreme Learning Machine BibRef

Chen, B.D.[Ba-Dong], Wang, X.[Xin], Lu, N.[Na], Wang, S.Y.[Shi-Yuan], Cao, J.[Jiuwen], Qin, J.[Jing],
Mixture correntropy for robust learning,
PR(79), 2018, pp. 318-327.
Elsevier DOI 1804
Correntropy, Mixture correntropy, Robust learning, Extreme learning machine, Kernel adaptive filtering BibRef

Haut, J.M.[Juan Mario], Paoletti, M.E.[Mercedes Eugenia], Plaza, J.[Javier], Plaza, A.[Antonio],
Fast dimensionality reduction and classification of hyperspectral images with extreme learning machines,
RealTimeIP(14), No. 3, October 2018, pp. 439-462.
Springer DOI 1811
BibRef

Li, R.[Rui], Wang, X.D.[Xiao-Dan], Lei, L.[Lei], Wu, C.M.[Chong-Ming],
Representation learning by hierarchical ELM auto-encoder with double random hidden layers,
IET-CV(13), No. 4, June 2019, pp. 411-419.
DOI Link 1906
ELM: Extreme Learning Machine. BibRef

Chen, L.J.[Liang-Jun], Honeine, P.[Paul], Hua, Q.[Qu], Zhao, J.H.[Ji-Hong], Xia, S.[Sun],
Correntropy-based robust multilayer extreme learning machines,
PR(84), 2018, pp. 357-370.
Elsevier DOI 1809
Deep learning, Extreme learning machine, Correntropy, Unsupervised feature learning, Computer aided cancer diagnosis BibRef

Cai, Y.M.[Yao-Ming], Liu, X.B.[Xiao-Bo], Zhang, Y.S.[Yong-Shan], Cai, Z.[Zhihua],
Hierarchical ensemble of Extreme Learning Machine,
PRL(116), 2018, pp. 101-106.
Elsevier DOI 1812
Extreme Learning Machine, Ensemble learning, Representation learning BibRef

Pradhan, M.K.[Monoj K.], Minz, S.[Sonajharia], Shrivastava, V.K.[Vimal K.],
Fast active learning for hyperspectral image classification using extreme learning machine,
IET-IPR(13), No. 4, March 2019, pp. 549-555.
DOI Link 1903
BibRef


Li, Z.Z.[Zhuang-Zi], Zhu, X.B.[Xiao-Bin], Wang, L.[Lei], Guo, P.Y.[Pei-Yu],
Image Classification Using Convolutional Neural Networks and Kernel Extreme Learning Machines,
ICIP18(3009-3013)
IEEE DOI 1809
Feature extraction, Training, Kernel, Task analysis, Convolutional neural networks, Support vector machines, BibRef

Cui, D.S.[Dong-Shun], Zhang, G.H.[Guang-Hao], Han, W.[Wei],
Compact Feature Representation for Image Classification Using ELMs,
CEFR-LCV17(1015-1022)
IEEE DOI 1802
Extreme Learning Machine. Shallow network. Convolution, Feature extraction, Noise measurement, Principal component analysis, Support vector machines BibRef

Lekamalage, C.K.L., Song, K., Huang, G.B., Cui, D., Liang, K.,
Multi layer multi objective extreme learning machine,
ICIP17(1297-1301)
IEEE DOI 1803
Linear programming, Multi-layer neural network, Neurons, Optical character recognition software, Task analysis, Testing, image classification BibRef

Shen, Y.[Yu], Chen, J.Y.[Jian-Yu], Xiao, L.[Liang],
Supervised Classification of Hyperspectral Images Using Local-Receptive-Fields-Based Kernel Extreme Learning Machine,
ICIP17(3120-3124)
IEEE DOI 1803
Convolution, Hyperspectral imaging, Kernel, Mathematical model, Neurons, Principal component analysis, LRF-KELM, SVM, random convolution nodes BibRef

Cui, D., Huang, G.B., Kasun, L.L.C., Zhang, G., Han, W.,
Elmnet: Feature learning using extreme learning machines,
ICIP17(1857-1861)
IEEE DOI 1803
Computer architecture, Convolution, Histograms, Noise measurement, Principal component analysis, Task analysis, Training, ELM-AE, Feature Learning BibRef

Guo, L., Liew, A.W.C.[Alan Wee-Chung],
An Improved Extreme Learning Machine with Parallelized Feature Mapping Structures,
DICTA16(1-5)
IEEE DOI 1701
Diabetes BibRef

Tang, J.X.[Jie-Xiong], Deng, C.W.[Chen-Wei], Huang, G.B.[Guang-Bin], Hou, J.H.[Jun-Hui],
A fast learning algorithm for multi-layer extreme learning machine,
ICIP14(175-178)
IEEE DOI 1502
Accuracy BibRef

Liu, Y.[Yu], Xu, X.J.[Xiu-Juan], Wang, C.[Chunyu],
Simple Ensemble of Extreme Learning Machine,
CISP09(1-5).
IEEE DOI 0910
BibRef

Cao, L.L.[Le-Le], Huang, W.B.[Wen-Bing], Sun, F.C.[Fu-Chun],
Optimization-Based Extreme Learning Machine with Multi-kernel Learning Approach for Classification,
ICPR14(3564-3569)
IEEE DOI 1412
Kernel BibRef

Shao, Z.F.[Zhi-Fei], Er, M.J.[Meng Joo], Huang, G.B.[Guang-Bin],
Receding Horizon Cache and Extreme Learning Machine based Reinforcement Learning,
ICARCV12(1591-1596).
IEEE DOI 1304
BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Robust Techniques, Robust Classification .


Last update:Jul 14, 2019 at 21:53:00