Extreme learning machines for soybean classification in remote sensing hyperspectral images (English)
- New search for: Moreno, Ramon
- New search for: Corona, Francesco
- New search for: Lendasse, Amaury
- New search for: Grana, Manuel
- New search for: Galvao, Lenio S.
- New search for: Moreno, Ramon
- New search for: Corona, Francesco
- New search for: Lendasse, Amaury
- New search for: Grana, Manuel
- New search for: Galvao, Lenio S.
In:
Neurocomputing
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128
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207-216
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2014
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ISSN:
- Article (Journal) / Print
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Title:Extreme learning machines for soybean classification in remote sensing hyperspectral images
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Contributors:Moreno, Ramon ( author ) / Corona, Francesco ( author ) / Lendasse, Amaury ( author ) / Grana, Manuel ( author ) / Galvao, Lenio S. ( author )
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Published in:Neurocomputing ; 128 ; 207-216
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Publisher:
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Publication date:2014
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Size:10 Seiten, 43 Quellen
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ISSN:
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Coden:
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DOI:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
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Keywords:
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Source:
Table of contents – Volume 128
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Advances in extreme learning machines (ELM2012)Lendasse, Amaury / He, Qing / Miche, Yoan / Huang, Guang-Bin et al. | 2013
- 4
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1-Norm extreme learning machine for regression and multiclass classification using Newton methodBalasundaram, S. / Gupta, Deepak / Kapil et al. | 2013
- 15
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Boosting weighted ELM for imbalanced learningLi, Kuan / Kong, Xiangfei / Lu, Zhi / Wenyin, Liu / Yin, Jianping et al. | 2013
- 22
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Dissimilarity based ensemble of extreme learning machine for gene expression data classificationLu, Hui-juan / An, Chun-lin / Zheng, En-hui / Lu, Yi et al. | 2013
- 31
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Parallelized extreme learning machine ensemble based on min–max modular networkWang, Xiao-Lin / Chen, Yang-Yang / Zhao, Hai / Lu, Bao-Liang et al. | 2013
- 42
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A novel ELM based adaptive Kalman filter tracking algorithmChi, Jian-Nan / Qian, Chenfei / Zhang, Pengyun / Xiao, Wendong / Xie, Lihua et al. | 2013
- 50
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An incremental extreme learning machine for online sequential learning problemsGuo, Lu / Hao, Jing-hua / Liu, Min et al. | 2013
- 59
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Constructive multi-output extreme learning machine with application to large tanker motion dynamics identificationWang, Ning / Han, Min / Dong, Nuo / Er, Meng Joo et al. | 2013
- 73
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Evolutionary ELM wrapper feature selection for Alzheimer's disease CAD on anatomical brain MRIChyzhyk, Darya / Savio, Alexandre / Graña, Manuel et al. | 2013
- 81
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Meta-ELM: ELM with ELM hidden nodesLiao, Shizhong / Feng, Chang et al. | 2013
- 88
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Clustering in extreme learning machine feature spaceHe, Qing / Jin, Xin / Du, Changying / Zhuang, Fuzhen / Shi, Zhongzhi et al. | 2012
- 96
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Fast sparse approximation of extreme learning machineLi, Xiaodong / Mao, Weijie / Jiang, Wei et al. | 2013
- 104
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A multi-output two-stage locally regularized model construction method using the extreme learning machineDu, Dajun / Li, Kang / Li, Xue / Fei, Minrui / Wang, Haikuan et al. | 2013
- 113
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Double parallel feedforward neural network based on extreme learning machine with L1/2 regularizerKhan, Atlas / Yang, Jie / Wu, Wei et al. | 2013
- 119
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TOSELM: Timeliness Online Sequential Extreme Learning MachineGu, Yang / Liu, Junfa / Chen, Yiqiang / Jiang, Xinlong / Yu, Hanchao et al. | 2013
- 128
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Hierarchical extreme learning machine for feedforward neural networkHan, Hong-Gui / Wang, Li-Dan / Qiao, Jun-Fei et al. | 2013
- 136
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Predicting minority class for suspended particulate matters level by extreme learning machineVong, Chi-Man / Ip, Weng-Fai / Wong, Pak-Kin / Chiu, Chi-Chong et al. | 2012
- 145
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A fast maximum likelihood nonlinear feature transformation method for GMM–HMM speaker adaptationYao, Kaisheng / Yu, Dong / Deng, Li / Gong, Yifan et al. | 2013
- 153
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Application of BW-ELM model on traffic sign recognitionSun, Zhan-Li / Wang, Han / Lau, Wai-Shing / Seet, Gerald / Wang, Danwei et al. | 2012
- 160
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Vehicle detection in driving simulation using extreme learning machineZhu, Wentao / Miao, Jun / Hu, Jiangbi / Qing, Laiyun et al. | 2013
- 166
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Aircraft recognition using modular extreme learning machineRong, Hai-Jun / Jia, Ya-Xin / Zhao, Guang-She et al. | 2012
- 175
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Breast tumor detection in digital mammography based on extreme learning machineWang, Zhiqiong / Yu, Ge / Kang, Yan / Zhao, Yingjie / Qu, Qixun et al. | 2013
- 185
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Combining sclera and periocular features for multi-modal identity verificationOh, Kangrok / Oh, Beom-Seok / Toh, Kar-Ann / Yau, Wei-Yun / Eng, How-Lung et al. | 2013
- 199
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Time-series processing of large scale remote sensing data with extreme learning machineChen, Jiaoyan / Zheng, Guozhou / Fang, Cong / Zhang, Ningyu / Chen, Huajun / Wu, Zhaohui et al. | 2013
- 207
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Extreme learning machines for soybean classification in remote sensing hyperspectral imagesMoreno, Ramón / Corona, Francesco / Lendasse, Amaury / Graña, Manuel / Galvão, Lênio S. et al. | 2013
- 217
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2-D defect profile reconstruction from ultrasonic guided wave signals based on QGA-kernelized ELMLiu, Bing / Tang, Liwei / Wang, Jianbin / Li, Aihua / Hao, Yali et al. | 2012
- 224
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Online fault diagnosis method based on Incremental Support Vector Data Description and Extreme Learning Machine with incremental output structureYin, Gang / Zhang, Ying-Tang / Li, Zhi-Ning / Ren, Guo-Quan / Fan, Hong-Bo et al. | 2013
- 232
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Discrete-time hypersonic flight control based on extreme learning machineXu, Bin / Pan, Yongping / Wang, Danwei / Sun, Fuchun et al. | 2013
- 242
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Neural modeling of vapor compression refrigeration cycle with extreme learning machineZhao, Lei / Cai, Wen-Jian / Man, Zhi-Hong et al. | 2013
- 249
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Real-time fault diagnosis for gas turbine generator systems using extreme learning machineWong, Pak Kin / Yang, Zhixin / Vong, Chi Man / Zhong, Jianhua et al. | 2013
- 258
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Fast prediction of protein–protein interaction sites based on Extreme Learning MachinesWang, Debby D. / Wang, Ran / Yan, Hong et al. | 2012
- 267
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Predicting pupylation sites in prokaryotic proteins using pseudo-amino acid composition and extreme learning machineFan, Yong-Xian / Shen, Hong-Bin et al. | 2012
- 273
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Extreme learning machine towards dynamic model hypothesis in fish ethology researchNian, Rui / He, Bo / Zheng, Bing / van Heeswijk, Mark / Yu, Qi / Miche, Yoan / Lendasse, Amaury et al. | 2013
- 285
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Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratingsZhong, Haoming / Miao, Chunyan / Shen, Zhiqi / Feng, Yuhong et al. | 2013
- 296
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Bankruptcy prediction using Extreme Learning Machine and financial expertiseYu, Qi / Miche, Yoan / Séverin, Eric / Lendasse, Amaury et al. | 2013
- 304
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Locality and similarity preserving embedding for feature selectionFang, Xiaozhao / Xu, Yong / Li, Xuelong / Fan, Zizhu / Liu, Hong / Chen, Yan et al. | 2013
- 316
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An efficient crossover architecture for hardware parallel implementation of genetic algorithmFaraji, Rasoul / Naji, Hamid Reza et al. | 2013
- 328
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FGNG: A fast multi-dimensional growing neural gas implementationMendes, Carlos Augusto Teixeira / Gattass, Marcelo / Lopes, Hélio et al. | 2013
- 341
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Sparse regularization discriminant analysis for face recognitionYin, Fei / Jiao, L.C. / Shang, Fanhua / Xiong, Lin / Wang, Xiaodong et al. | 2013
- 363
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Stud krill herd algorithmWang, Gai-Ge / Gandomi, Amir H. / Alavi, Amir H. et al. | 2013
- 371
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Interval kernel regressionFagundes, Roberta A.A. / de Souza, Renata M.C.R. / Cysneiros, Francisco José A. et al. | 2013
- 389
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New automated power quality recognition system for online/offline monitoringHajian, Mahdi / Akbari Foroud, Asghar / Abdoos, Ali Akbar et al. | 2013
- 407
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A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noiseHe, Yan-Lin / Geng, Zhi-Qiang / Xu, Yuan / Zhu, Qun-Xiong et al. | 2013
- 415
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Optimizing principal component analysis performance for face recognition using genetic algorithmHussein Al-Arashi, Waled / Ibrahim, Haidi / Azmin Suandi, Shahrel et al. | 2013
- 421
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Human intention recognition based on eyeball movement pattern and pupil size variationJang, Young-Min / Mallipeddi, Rammohan / Lee, Sangil / Kwak, Ho-Wan / Lee, Minho et al. | 2013
- 433
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Short, medium and long term forecasting of time series using the L-Co-R algorithmParras-Gutierrez, E. / Rivas, V.M. / Garcia-Arenas, M. / del Jesus, M.J. et al. | 2013
- 447
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Autonomous intelligent decision-making system based on Bayesian SOM neural network for robot soccerChen, Bin / Zhang, An / Cao, Lu et al. | 2013
- 459
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A delay-partitioning projection approach to stability analysis of stochastic Markovian jump neural networks with randomly occurred nonlinearitiesDuan, Jianmin / Hu, Manfeng / Yang, Yongqing / Guo, Liuxiao et al. | 2013
- 466
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Sparse frontal face image synthesis from an arbitrary profile imageZhao, Lin / Gao, Xinbo / Yuan, Yuan / Tao, Dapeng et al. | 2013
- 476
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A new condition for robust stability of uncertain neural networks with time delaysArik, Sabri et al. | 2013
- 483
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Exponential stability of complex-valued neural networks with mixed delaysXu, Xiaohui / Zhang, Jiye / Shi, Jizhong et al. | 2013
- 491
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Sales forecasting of computer products based on variable selection scheme and support vector regressionLu, Chi-Jie et al. | 2013
- 500
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Extreme learning machine for classification over uncertain dataSun, Yongjiao / Yuan, Ye / Wang, Guoren et al. | 2013
- 507
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Review and performance comparison of SVM- and ELM-based classifiersChorowski, Jan / Wang, Jian / Zurada, Jacek M. et al. | 2013
- IFC
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Editorial Board| 2014