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ORCIDNeurocomputing, Volume 362
Volume 362, October 2019
- Jinjoo Song
, Gangjoon Yoon, Kwang-Soo Hahn, Sang Min Yoon:
Subspace clustering via structure-enforced dictionary learning. 1-10 - Cairong Yan, Qinglong Zhang:
Merging visual features and temporal dynamics in sequential recommendation. 11-18 - Songhua Liu, Caiying Ding, Fei Jiang, Yan Wang, Baoyong Yin:
Auto-weighted Multi-view learning for Semi-Supervised graph clustering. 19-32 - Mingqi Lv, Wei Xu, Tieming Chen:
A hybrid deep convolutional and recurrent neural network for complex activity recognition using multimodal sensors. 33-40 - Shichao Zhou, Chenwei Deng, Wenzheng Wang, Guang-Bin Huang, Baojun Zhao:
GenELM: Generative Extreme Learning Machine feature representation. 41-50 - Xiaowei Liang, Xing He, Tingwen Huang:
Distributed Neuro-Dynamic Optimization for Multi-Objective Power Management Problem in Micro-Grid. 51-59 - Wei Jiang, Yuwei Wu, Chenchen Jing, Tan Yu, Yunde Jia:
Unsupervised deep quantization for object instance search. 60-71 - Ziyang Chen, Xiaohui Yang, Xiaoping P. Liu:
RBFNN-based nonsingular fast terminal sliding mode control for robotic manipulators including actuator dynamics. 72-82 - Dejun Zhang, Mengting Luo, Fazhi He:
Reconstructed similarity for faster GANs-based word translation to mitigate hubness. 83-93 - Haoyu Li, Stéphane Derrode, Wojciech Pieczynski:
An adaptive and on-line IMU-based locomotion activity classification method using a triplet Markov model. 94-105 - Lixin Wang, Maolin Wang, Ting Yue:
A fuzzy deterministic policy gradient algorithm for pursuit-evasion differential games. 106-117 - Xin Fu, Yao Zhao, Ting Liu, Yunchao Wei, Jianan Li, Shikui Wei:
Adversarial task-specific learning. 118-128 - Zhonghua Liu, Weihua Ou, Wenpeng Lu, Lin Wang:
Discriminative feature extraction based on sparse and low-rank representation. 129-138 - Youmei Zhang, Chunluan Zhou, Faliang Chang, Alex C. Kot:
A scale adaptive network for crowd counting. 139-146 - Wei Xu, Wei Liu, Haoyuan Chi, Song Qiu, Yu Jin:
Self-paced learning with privileged information. 147-155 - Yangyang Li, Junjie Xiao, Yanqiao Chen, Licheng Jiao:
Evolving deep convolutional neural networks by quantum behaved particle swarm optimization with binary encoding for image classification. 156-165 - Sichao Fu, Weifeng Liu, Yicong Zhou, Liqiang Nie:
HpLapGCN: Hypergraph p-Laplacian graph convolutional networks. 166-174 - Bing Liu, Qiao Liu, Taiping Zhang, Yong Yang:
MSSTResNet-TLD: A robust tracking method based on tracking-learning-detection framework by using multi-scale spatio-temporal residual network feature model. 175-194 - Fang Wang, LiLi Zhang, Shaowei Zhou, Yuanyuan Huang:
Neural network-based finite-time control of quantized stochastic nonlinear systems. 195-202
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