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西安交通大学 [66]

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会议论文 [66]

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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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	Multi-view Face Detection and Landmark Localization Based on MTCNN 会议论文作者: Ma, Mei; Wang, Jianji 收藏 \| 浏览/下载：13/0 \| 提交时间：2019/11/19 deep learning multi-view face detection landmark localization multi-task cascaded convolutional networks
	Fault Diagnosis Method Based on Improved Deep Boltzmann Machines 会议论文作者: Liu, Dan; Wang, Qin; Tao, Jiaojiao; Li, Guang; Wu, Jie 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/11/19 Deep Learning Fault Diagnosis Deep Boltzmann Machines
	Chromosome Classification with Convolutional Neural Network based Deep Learning 会议论文作者: Zhang, Wenbo; Song, Sifan; Bai, Tianming; Zhao, Yanxin; Ma, Fei 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/11/19
	Hyperspectral Image Classification Based on Long Short Term Memory Network 会议论文作者: Liu, Jin; Zhang, Xiangrong; Zhang, Jingyan; An, Jinliang; Li, Chen 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/11/19 semantic features deep learning long short term memory network hyperspectral image
	An integrative deep learning algorithm to distinguish between normal and atherosclerotic carotid arteries on black-blood vessel wall MRI 会议论文作者: Jiayi Wu; Jingmin Xin; Jie Sun; Zechen Zhou; Baocheng Chu 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/11/19
	Computerized Adaptive English Ability Assessment Based on Deep Learning 会议论文作者: Wang, Xiao; Zhang, Yuanyuan; Yu, Shengnan; Liu, Xiwei; Wang, Fei-Yue 收藏 \| 浏览/下载：13/0 \| 提交时间：2019/11/19 Computerized adaptive testing Conventional methods Data-driven methods Embedded relationships English abilities Learning-based methods Memory effects Training sample
	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
	Proximal dehaze-net: A prior learning-based deep network for single image dehazing 会议论文作者: Sun, Jian 收藏 \| 浏览/下载：20/0 \| 提交时间：2019/11/19 Convolutional neural network Iterative algorithm Iterative optimization algorithms Learning approach Learning methods Prior learning Single image dehazing State-of-the-art performance
	ClusterFace: Clustering-driven deep face recognition 会议论文作者: Xie, Lingjiang; Yu, Cuican; Li, Huibin; Zhu, Jihua 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/11/19 Face clustering Face recognition methods Human-level performance Learning paradigms Mini-batch k-means Novel clustering Number of clusters State-of-the-art performance
	A Novel Method of Detecting Vulnerable Coronary Plaques in OCT Images with Deep Learning 会议论文作者: Deng, Yangyang; Liu, Sijie; Shi, Peiwen; Xin, Jingmin; Zheng, Nanning 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/11/19

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