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| 2D and 3D Palmprint and Palm Vein Recognition Based on Neural Architecture Search 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 377-409 作者: Wei Jia; Wei Xia; Yang Zhao; Hai Min; Yan-Xiang Chen Adobe PDF(15758Kb)  |  收藏  |  浏览/下载:337/48  |  提交时间:2021/05/24 Performance evaluation neural architecture search biometrics palmprint palm vein deep learning |
| Why and When Can Deep-but Not Shallow-networks Avoid the Curse of Dimensionality: A Review 期刊论文 International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 503-519 作者: Tomaso Poggio; Hrushikesh Mhaskar; Lorenzo Rosasco; Brando Miranda; Qianli Liao 浏览  |  Adobe PDF(1711Kb)  |  收藏  |  浏览/下载:207/32  |  提交时间:2021/02/23 Deep learning fine-grained image classification semantic segmentation convolutional neural network (CNN) recurrent neural network (RNN). |
| A Performance Evaluation of Classic Convolutional Neural Networks for 2D and 3D Palmprint and Palm Vein Recognition 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 18-44 作者: Wei Jia; Jian Gao; Wei Xia; Yang Zhao; Hai Min; Jing-Ting Lu 浏览  |  Adobe PDF(2680Kb)  |  收藏  |  浏览/下载:233/80  |  提交时间:2021/02/23 Performance evaluation convolutional neural network (CNN) biometrics palmprint palm vein deep learning |
| An Overview of Contour Detection Approaches 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 656-672 作者: Xin-Yi Gong; Hu Su; De Xu; Zheng-Tao Zhang; Fei Shen; Hua-Bin Yang 浏览  |  Adobe PDF(1828Kb)  |  收藏  |  浏览/下载:266/92  |  提交时间:2021/02/23 Contour detection contour salience gestalt principle contour grouping active contour. |
| A Selective Attention Guided Initiative Semantic Cognition Algorithm for Service Robot 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 5, 页码: 559-569 作者: Huan-Zhao Chen; Guo-Hui Tian; Guo-Liang Liu 浏览  |  Adobe PDF(1069Kb)  |  收藏  |  浏览/下载:137/56  |  提交时间:2021/02/23 Service robot cognition computing selective attention semantic knowledge base artificial neural network. |
| MFSR: Maximum Feature Score Region-based Captions Locating in News Video Images 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 454-461 作者: Zhi-Heng Wang; Chao Guo; Hong-Min Liu; Zhan-Qiang Huo Adobe PDF(2780Kb)  |  收藏  |  浏览/下载:127/33  |  提交时间:2021/02/23 News video images captions recognizing captions locating content understanding maximum feature score region (MFSR). |
| A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-stationary Signal Analysis and Pattern Recognition 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 398-412 作者: N. R. Nayak; P. K. Dash; R. Bisoi 浏览  |  Adobe PDF(1576Kb)  |  收藏  |  浏览/下载:147/48  |  提交时间:2021/02/22 Non-stationary signals sparse S-transform (SST) scaling method fuzzy decision tree pattern classification. |
| Effective Crowd Anomaly Detection Through Spatio-temporal Texture Analysis 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 27-39 作者: Yu Hao; Zhi-Jie Xu; Ying Liu; Jing Wang; Jiu-Lun Fan 浏览  |  Adobe PDF(1521Kb)  |  收藏  |  浏览/下载:224/61  |  提交时间:2021/02/22 Crowd behavior spatial-temporal texture gray level co-occurrence matrix information entropy. |
| Deep Learning Based Hand Gesture Recognition and UAV Flight Controls 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 17-29 作者: Bin Hu; Jiacun Wang 浏览  |  Adobe PDF(1357Kb)  |  收藏  |  浏览/下载:182/60  |  提交时间:2021/02/22 Deep learning neural networks hand gesture recognition Leap Motion Controllers drones. |
| Localization and Classification of Rice-grain Images Using Region Proposals-based Convolutional Neural Network 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 233-246 作者: Kittinun Aukkapinyo; Suchakree Sawangwong; Parintorn Pooyoi; Worapan Kusakunniran 浏览  |  Adobe PDF(1162Kb)  |  收藏  |  浏览/下载:212/62  |  提交时间:2021/02/22 Mask region-based convolutional neural networks (R-CNN) computer vision deep learning rice grain classification transfer learning. |