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ORCIDNeurocomputing, Volume 261
Volume 261, October 2017
- Amaury Lendasse, Chi-Man Vong
, Kar-Ann Toh, Yoan Miche, Guang-Bin Huang:
Advances in extreme learning machines (ELM2015). 1-3
- MingChu Jiang, Zhisong Pan, Na Li:
Multi-label text categorization using L21-norm minimization extreme learning machine. 4-10 - Xiaojian Ding, Yuan Lan, Zhi-feng Zhang, Xin Xu:
Optimization extreme learning machine with ν regularization. 11-19 - Yajun Yu, Zhisong Pan, Guyu Hu, Huifeng Ren:
Graph classification based on sparse graph feature selection and extreme learning machine. 20-27 - Wenhui Wang, Xueyi Liu:
The selection of input weights of extreme learning machine: A sample structure preserving point of view. 28-36 - Paolo Gastaldo, Federica Bisio, Christian Gianoglio, Edoardo Ragusa, Rodolfo Zunino:
Learning with similarity functions: A novel design for the extreme learning machine. 37-49 - Yuanlong Yu, Zhenzhen Sun:
Sparse coding extreme learning machine for classification. 50-56 - Ying Yin, Yuhai Zhao, Bin Zhang, Chenguang Li, Song Guo:
Enhancing ELM by Markov Boundary based feature selection. 57-69 - Wendong Xiao, Jie Zhang, Yanjiao Li, Sen Zhang, Weidong Yang:
Class-specific cost regulation extreme learning machine for imbalanced classification. 70-82
- Yongjiao Sun, Yuangen Chen, Ye Yuan, Guoren Wang:
Dynamic adjustment of hidden layer structure for convex incremental extreme learning machine. 83-93 - Wentao Mao, Jinwan Wang, Ling He, Yangyang Tian:
Online sequential prediction of imbalance data with two-stage hybrid strategy by extreme learning machine. 94-105 - Zhanghui Wang, Yuhai Zhao, Ye Yuan, Guoren Wang, Lei Chen:
Extreme Learning Machine for large-scale graph classification based on MapReduce. 106-114 - Jian-Chuan Yin:
A variable-structure online sequential extreme learning machine for time-varying system prediction. 115-125 - Chandan Gautam, Aruna Tiwari, Qian Leng:
On the construction of extreme learning machine for online and offline one-class classification - An expanded toolbox. 126-143 - Haigang Zhang, Sen Zhang, Yixin Yin:
Online sequential ELM algorithm with forgetting factor for real applications. 144-152
- Shijie Li, Xin Niu, Yong Dou, Qi Lv, Yueqing Wang:
Heterogeneous blocked CPU-GPU accelerate scheme for large scale extreme learning machine. 153-163 - Minnan Luo, Lingling Zhang, Jun Liu, Jun Guo, Qinghua Zheng:
Distributed extreme learning machine with alternating direction method of multiplier. 164-170 - Jun Pang, Yu Gu, Jia Xu, Xiaowang Kong, Ge Yu:
Parallel multi-graph classification using extreme learning machine and MapReduce. 171-183 - Linlin Ding, Yu Liu, Baishuo Han, Shiwen Zhang, Baoyan Song:
HB-File: An efficient and effective high-dimensional big data storage structure based on US-ELM. 184-192 - Aakash Patil, Shanlan Shen, Enyi Yao, Arindam Basu:
Hardware architecture for large parallel array of Random Feature Extractors applied to image recognition. 193-203
- Beom-Seok Oh, Lei Sun, Chung Soo Ahn, Yong Kiang Yeo, Yan Yang, Nan Liu, Zhiping Lin:
Extreme learning machine based mutual information estimation with application to time-series change-points detection. 204-216 - Soujanya Poria, Haiyun Peng, Amir Hussain, Newton Howard, Erik Cambria:
Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis. 217-230 - Jiuwen Cao, Tuo Zhao, Jianzhong Wang, Ruirong Wang, Yun Chen:
Excavation equipment classification based on improved MFCC features and ELM. 231-241 - Yong Peng, Bao-Liang Lu:
Discriminative extreme learning machine with supervised sparsity preserving for image classification. 242-252 - Beom-Seok Oh, Kangrok Oh, Andrew Beng Jin Teoh, Zhiping Lin, Kar-Ann Toh:
A Gabor-based network for heterogeneous face recognition. 253-265 - Chenwei Deng, Baoxian Wang, Weisi Lin, Guang-Bin Huang, Baojun Zhao:
Effective visual tracking by pairwise metric learning. 266-275
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