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ORCIDNeurocomputing, Volume 399
Volume 399, July 2020
- Xiaojie Peng
, Yong He, Fei Long, Min Wu:
Global exponential stability analysis of neural networks with a time-varying delay via some state-dependent zero equations. 1-7 - Fei Tan, Lili Zhou, Yuming Chu, Yongmin Li:
Fixed-time stochastic outer synchronization in double-layered multi-weighted coupling networks with adaptive chattering-free control. 8-17 - Linlin Zhuo, Kenli Li, Hao Li, Jiwu Peng, Keqin Li:
An online and generalized non-negativity constrained model for large-scale sparse tensor estimation on multi-GPU. 18-36 - Zhenyu Zhu, Liusheng Huang, Hongli Xu:
Self-accelerated Thompson sampling with near-optimal regret upper bound. 37-47 - Baige Tang, Li Zhang:
Local preserving logistic I-Relief for semi-supervised feature selection. 48-64 - Biyun Sheng, Jun Li, Fu Xiao, Wankou Yang:
Multilayer deep features with multiple kernel learning for action recognition. 65-74 - Lei Chen, Quansen Sun, Fanhai Wang:
Adaptive blind deconvolution using generalized cross-validation with generalized lp/lq norm regularization. 75-85 - You Wu, Ruiming Xie, Xue-Jun Xie:
Adaptive finite-time fuzzy control of full-state constrained high-order nonlinear systems without feasibility conditions and its application. 86-95 - Tianli Tao, Li Ding, Hua Huang:
Unified non-uniform scale adaptive sampling model for quality assessment of natural scene and screen content images. 96-106 - Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai:
An oversampling framework for imbalanced classification based on Laplacian eigenmaps. 107-116 - Min Meng, Xiaoyu Zhan, Jigang Wu:
Joint discriminative attributes and similarity embeddings modeling for zero-shot recognition. 117-128 - Di Wang, Xiangyu Guo, Chaowen Guan, Shi Li, Jinhui Xu:
Estimating stochastic linear combination of non-linear regressions efficiently and scalably. 129-140 - Victor Coscrato, Marco Henrique de Almeida Inácio, Rafael Izbicki:
The NN-Stacking: Feature weighted linear stacking through neural networks. 141-152 - Xuchu Wang, Suiqiang Zhai, Yanmin Niu:
Left ventricle landmark localization and identification in cardiac MRI by deep metric learning-assisted CNN regression. 153-170 - Wing W. Y. Ng, Jiayong Li, Xing Tian, Hui Wang, Sam Kwong, Jonathan Wallace:
Multi-level supervised hashing with deep features for efficient image retrieval. 171-182 - Kaili Yin, Yi-Fei Pu, Lu Lu:
Combination of fractional FLANN filters for solving the Van der Pol-Duffing oscillator. 183-192 - Craig Michoski, Milos Milosavljevic, Todd Oliver, David R. Hatch:
Solving differential equations using deep neural networks. 193-212 - Muhammet Said Aydemir, Gokhan Bilgin:
Semi-supervised sparse representation classifier (S3RC) with deep features on small sample sized hyperspectral images. 213-226 - Andrea Valsecchi, Sergio Damas, Cristina Tubilleja, Javier Arechalde:
Stochastic reconstruction of 3D porous media from 2D images using generative adversarial networks. 227-236 - Wenqian Dong, Song Xiao, Jie Liang, Jiahui Qu:
Fusion of hyperspectral and panchromatic images using structure tensor and matting model. 237-246 - Xiao Ke, Yufeng Zhang:
Fine-grained vehicle type detection and recognition based on dense attention network. 247-257 - Murat Tasyurek, Mete Celik:
RNN-GWR: A geographically weighted regression approach for frequently updated data. 258-270 - Xinjian Huang, Bo Du, Dapeng Tao, Liangpei Zhang:
Spatial-spectral weighted nuclear norm minimization for hyperspectral image denoising. 271-284 - Yan Zhang, Junjie Hu, Takayuki Okatani:
Extending information maximization from a rate-distortion perspective. 285-295 - Xuefei Ning, Yin Zheng, Zhuxi Jiang, Yu Wang, Huazhong Yang, Junzhou Huang, Peilin Zhao:
Nonparametric Topic Modeling with Neural Inference. 296-306 - Yanfei Hong, Benzheng Wei, Zhongyi Han, Xiang Li, Yuanjie Zheng, Shuo Li:
MMCL-Net: Spinal disease diagnosis in global mode using progressive multi-task joint learning. 307-316 - Ayoub Jebri, Tarek Madani, Karim Djouani, Abdelaziz Benallegue:
Robust adaptive neuronal controller for exoskeletons with sliding-mode. 317-330 - Yijun Liu, Yongda Cai, Xiaojun Yang, Feiping Nie, Wujian Ye:
Fast adaptive neighbors clustering via embedded clustering. 331-341 - Qi Wang, Yongsheng Hao:
ALSTM: An attention-based long short-term memory framework for knowledge base reasoning. 342-351 - Jayadeva, Sumit Soman, Himanshu Pant, Mayank Sharma:
QMCM: Minimizing Vapnik's bound on the VC dimension. 352-360 - LeXian Liang:
Precise iterative closest point algorithm for RGB-D data registration with noise and outliers. 361-368 - Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li:
Auto-weighted multi-view clustering via spectral embedding. 369-379 - Zhengwen Tu, Dandan Wang, Xinsong Yang, Jinde Cao:
Lagrange stability of memristive quaternion-valued neural networks with neutral items. 380-389 - Huizhen Qu, Tianwei Zhang, Jianwen Zhou:
Global stability analysis of S-asymptotically ω-periodic oscillation in fractional-order cellular neural networks with time variable delays. 390-398 - Zhanglei Shi, Hao Wang, Chi-Sing Leung, Hing Cheung So, Junli Liang, Kim Fung Tsang, Anthony G. Constantinides:
Robust ellipse fitting based on Lagrange programming neural network and locally competitive algorithm. 399-413 - Sudharsan Thiruvengadam, Jei Shian Tan, Karol Miller:
Artificial intelligence using hyper-algebraic networks. 414-448 - Hao Chen, Chang Wang, Jian Huang, Jiangtao Kong, Hanqiang Deng:
XCS with opponent modelling for concurrent reinforcement learners. 449-466 - Yuan-Yuan Shen, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Online semi-supervised learning with learning vector quantization. 467-478 - Zewei Zheng, Linping Ruan, Ming Zhu, Xiao Guo:
Reinforcement learning control for underactuated surface vessel with output error constraints and uncertainties. 479-490 - Yitian Chen, Yanfei Kang, Yixiong Chen, Zizhuo Wang:
Probabilistic forecasting with temporal convolutional neural network. 491-501
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