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ORCIDNeurocomputing, Volume 312
Volume 312, October 2018
- Tao Wang, Huaguang Zhang, Yanhong Luo:
Stochastic linear quadratic optimal control for model-free discrete-time systems based on Q-learning algorithm. 1-8 - Siqi Li, Huiyan Jiang
, Yu-Dong Yao, Wenbo Pang, Qingjiao Sun, Li Kuang:
Structure convolutional extreme learning machine and case-based shape template for HCC nucleus segmentation. 9-26 - Qing Zhang, Junwei Gao, Honghui Dong, Yunlong Mao:
WPD and DE/BBO-RBFNN for solution of rolling bearing fault diagnosis. 27-33 - Meiyu Li, Jianli Zhao, Jianwei Xia, Guangming Zhuang, Weihai Zhang:
Extended dissipative analysis and synthesis for network control systems with an event-triggered scheme. 34-40 - Lei Shi, Jin-Liang Shao, Mengtao Cao, Hong Xia:
Distributed containment of heterogeneous multi-agent systems with switching topologies. 41-48 - Lei Ma, Hongliang Li, Fanman Meng, Qingbo Wu, King Ngi Ngan:
Global and local semantics-preserving based deep hashing for cross-modal retrieval. 49-62 - Haigen Hu, Cheng Luo, Qiu Guan, Xiaoxin Li, Shengyong Chen, Qianwei Zhou:
A fast online multivariable identification method for greenhouse environment control problems. 63-73 - Yan-Li Huang, Weizhong Chen, Jian-Ming Wang:
Finite-time passivity of delayed multi-weighted complex dynamical networks with different dimensional nodes. 74-89 - Yanhua Chen, Marius Kloft, Yi Yang, Caihong Li, Lian Li:
Mixed kernel based extreme learning machine for electric load forecasting. 90-106 - Bo Yue, Shuang Wang, Xuefeng Liang, Licheng Jiao:
An external learning assisted self-examples learning for image super-resolution. 107-119 - Jan Faigl:
GSOA: Growing Self-Organizing Array - Unsupervised learning for the Close-Enough Traveling Salesman Problem and other routing problems. 120-134 - Mei Wang, Weihong Deng:
Deep visual domain adaptation: A survey. 135-153 - Pengjie Tang, Hanli Wang, Sam Kwong:
Deep sequential fusion LSTM network for image description. 154-164 - Zohre Karimi, Saeed Shiry Ghidary:
Semi-supervised metric learning in stratified spaces via intergrating local constraints and information-theoretic non-local constraints. 165-176 - Yagmur Gizem Cinar, Hamid Mirisaee, Parantapa Goswami, Éric Gaussier, Ali Aït-Bachir:
Period-aware content attention RNNs for time series forecasting with missing values. 177-186 - Syed Saud Naqvi, Jawad Mirza, Tariq Bashir:
A unified framework for exploiting color coefficients for salient object detection. 187-200 - Jarbas Joaci de Mesquita Sá Junior, André Ricardo Backes, Odemir Martinez Bruno:
Randomized neural network based descriptors for shape classification. 201-209 - Sotirios P. Chatzis:
Latent subspace modeling of sequential data under the maximum entropy discrimination framework. 210-217 - Kaikai Song, Ting Yao, Qiang Ling, Tao Mei:
Boosting image sentiment analysis with visual attention. 218-228 - Lihe Zhang, Xiang Fang, Hongguang Bo, Tiantian Wang, Huchuan Lu:
Deep multi-level networks with multi-task learning for saliency detection. 229-238 - Xinzhong Zhu, Chang Tang, Pichao Wang, Huiying Xu, Minhui Wang, Jiajia Chen, Jie Tian:
Saliency detection via affinity graph learning and weighted manifold ranking. 239-250 - Sujing Wang, Bing-Jun Li, Yong-Jin Liu, Wen-Jing Yan, Xinyu Ou, Xiaohua Huang, Feng Xu, Xiaolan Fu:
Micro-expression recognition with small sample size by transferring long-term convolutional neural network. 251-262 - Cangfeng Ding, Kan Li:
Centrality ranking in multiplex networks using topologically biased random walks. 263-275 - Shyam Prasad Adhikari, Hyongsuk Kim, Changju Yang, Leon O. Chua:
Building cellular neural network templates with a hardware friendly learning algorithm. 276-284 - Xianjing Meng, Xiaoming Xi, Lu Yang, Guang Zhang, Yilong Yin, Xinjian Chen:
Fast and effective optic disk localization based on convolutional neural network. 285-295 - Feng Zhao, Hanqiang Liu, Jiulun Fan, Chang Wen Chen, Rong Lan, Na Li:
Intuitionistic fuzzy set approach to multi-objective evolutionary clustering with multiple spatial information for image segmentation. 296-309 - Siwei Feng, Marco F. Duarte:
Graph autoencoder-based unsupervised feature selection with broad and local data structure preservation. 310-323 - Xiaoxu Li, Zhanyu Ma, Pai Peng, Xiaowei Guo, Feiyue Huang, Xiaojie Wang, Jun Guo:
Supervised latent Dirichlet allocation with a mixture of sparse softmax. 324-335 - Lishan Qiao, Limei Zhang, Songcan Chen, Dinggang Shen:
Data-driven graph construction and graph learning: A review. 336-351 - Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain:
A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems. 352-363 - Wei Yao, Zhigang Zeng, Cheng Lian, Huiming Tang:
Pixel-wise regression using U-Net and its application on pansharpening. 364-371 - Weiying Xie, Yunsong Li, Xiuping Jia:
Deep convolutional networks with residual learning for accurate spectral-spatial denoising. 372-381 - Piotr Szymczyk, Magdalena Szymczyk:
Identification of dynamic object using Z-transform artificial neural network. 382-389
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