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西安交通大学 [29]

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会议论文 [29]

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浏览/检索结果: 共29条，第1-10条

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限定条件	内容类型：会议论文专题：西安交通大学第一署名单位第一作者单位通讯作者单位

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	Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification 会议论文作者: Wei, Xing; Zhang, Yue; Gong, Yihong; Zhang, Jiawei; Zheng, Nanning 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/11/19 Bilinear pooling Burstiness Convolutional Neural Networks (CNN) Grassmann manifold Second order statistics Similarity measurements State-of-the-art performance Visual classification
	Adding attentiveness to the neurons in recurrent neural networks 会议论文作者: Xue, Jianru; Lan, Cuiling; Zeng, Wenjun; Gao, Zhanning; Zheng, Nanning 收藏 \| 浏览/下载：13/0 \| 提交时间：2019/11/19 Action recognition Element-wise-Attention Gate (EleAttG) Historical information Recurrent neural network (RNNs) RGB video Sequential information Skeleton Temporal dynamics
	A deep-layer feature selection method based on deep neural networks 会议论文作者: Qiao, Chen; Sun, Ke-Feng; Li, Bin 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/11/19 Deep layer Feature selection algorithm Feature selection methods Features back-selection Global perspective Key sites Learning architectures Prediction accuracy
	Transductive Semi-Supervised Deep Learning Using Min-Max Features 会议论文作者: Shi, Weiwei; Gong, Yihong; Ding, Chris; Ma, Zhiheng; Tao, Xiaoyu 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/11/19 Classification accuracy Confidence levels Deep convolutional neural networks Feature descriptors Min-max Semi-supervised Semi-supervised learning (SSL) Transductive learning
	Short-term Load Forecasting Method Based On Improved Neural Network For Power Characteristic Enterprises 会议论文作者: Dou, Yuchen; Zhang, Hang; Zhang, Aimin 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/11/26 short-term load forecasting artificial neural networks characteristic enterprise similar day set
	Model Compression for Faster Structural Separation of Macromolecules Captured by Cellular Electron Cryo-Tomography 会议论文作者: Guo, Jialiang; Zhou, Bo; Zeng, Xiangrui; Freyberg, Zachary; Xu, Min 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/11/26 3D Visualization Classification accuracy Classification approach Classification models Computational costs Convolutional Neural Networks (CNN) Model compression Structural separations
	Three Dimensional Face Recognition via Surface Harmonic Mapping and Deep Learning 会议论文作者: Wei, Xiaofan; Li, Huibin; Gu, Xianfeng David 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/11/26 3D face recognition Deep convolutional neural networks Differential geometry Score-level fusion Similarity measurements Sparse representation Surface harmonics Three dimensional face recognition
	Boosting CNN-based pedestrian detection via 3d lidar fusion in autonomous driving 会议论文作者: Dou, Jian; Fang, Jianwu; Li, Tao; Xue, Jianru 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/11/26 Autonomous driving Calibration method Complex learning Convolutional Neural Networks (CNN) Large spaces LIDAR sensors Pedestrian detection State of the art
	Learning qualitative and quantitative image quality assessment 会议论文作者: Liang, Yudong; Wang, Jinjun; Yang, Ze; Gong, Yihong; Zheng, Nanning 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/02 Deep convolutional neural networks Discriminative features Multitask learning Qualitative Quantitative Quantitative assessments Quantitative evaluation State-of-art performance
	Deep neural networks for free-hand sketch recognition 会议论文作者: Zhang, Yuqi; Zhang, Yuting; Qian, Xueming 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/02 Contour Deep convolutional neural networks Natural images Recognition accuracy Sketch recognition

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