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西安交通大学 [2]

北京航空航天大学 [2]

兰州理工大学 [1]

大连理工大学 [1]

上海应用物理研究所 [1]

中国科学院大学 [1]

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	Generative adversarial dehaze mapping nets 期刊论文 Pattern Recognition Letters, 2019, 卷号: 119, 页码: 238-244 作者: Li, Ce; Zhao, Xinyu; Zhang, Zhaoxiang; Du, Shaoyi 收藏 \| 浏览/下载：2/0 \| 提交时间：2022/02/17 Learning algorithms Light sources Machine learning Mapping Artificial light source Deep architectures Effective constraints GADMN LMHPM Multiple light scattering Relevant features State-of-the-art methods
	Taylor Convolutional Networks for Image Classification 会议论文 2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019-01-01 作者: Wang, Xiaodi; Li, Ce; Mou, Yipeng; Zhang, Baochang; Han, Jungong 收藏 \| 浏览/下载：22/0 \| 提交时间：2019/12/30 Backpropagation algorithms Computer vision Convolution Network architecture Convolutional networks Deep architectures End to end High-frequency informations Low-frequency Nonlinear combination Object classification Taylor expansions Image classification
	A new variant of restricted Boltzmann machine with horizontal connections 期刊论文 Neural Computing and Applications, 2018, 页码: 1-13 作者: Shi, Guang; Zhang, Jiangshe; Ji, NanNan; Wang, ChangPeng 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/11/19 Deep architectures Horizontal connection Information transfers Lateral inhibition Layer-wise Restricted boltzmann machine Sensory system Threelayer architecture
	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
	Damage Classification for Masonry Historic Structures Using Convolutional Neural Networks Based on Still Images 期刊论文 COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2018, 卷号: 33, 页码: 1073-1089 作者: Wang, Niannian; Zhao, Qingan; Li, Shengyuan; Zhao, Xuefeng; Zhao, Peng 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/02 Brick Convolution Drying Historic preservation Image classification Neural networks Pixels Statistical tests Surface chemistry, Classification results Convolutional neural network Convolutional Neural Networks (CNN) Damage classification Deep architectures Historic structures Professional equipment Sliding window-based, Damage detection, artificial neural network historic building image classification masonry pixel
	Controllable and green synthesis of robust graphene aerogels with tunable surface properties for oil and dye adsorption 期刊论文 NEW JOURNAL OF CHEMISTRY, 2018, 卷号: 42, 期号: 2, 页码: 1003-1009 作者: Qiu, LJ; Wan, WC; Tong, ZQ; Zhang, RY; Li, LN 收藏 \| 浏览/下载：20/0 \| 提交时间：2018/09/06 Carbon Nanotube Aerogels Deep-water Horizon Highly Efficient Methylene-blue Oxide Removal Performance Spill Architectures Temperature
	Deblurring retinal optical coherence tomography via a convolutional neural network with anisotropic and double convolution layer 期刊论文 IET COMPUTER VISION, 2018, 卷号: 12, 期号: 6, 页码: 900-907 作者: Lian, Jian; Hou, Sujuan; Sui, Xiaodan; Xu, Fangzhou; Zheng, Yuanjie 收藏 \| 浏览/下载：16/0 \| 提交时间：2019/12/11 biomedical optical imaging neural nets eye optical tomography medical image processing learning (artificial intelligence) deconvolution convolution image restoration retinal optical coherence tomography double convolution layer image pre-processing tasks optical coherence tomography systems degradation effects current deblurring research suitable degradation models deconvolution operators model-based solutions nonmodel architecture deep convolutional neural network parameter-free situations deep learning strategy traditional model neural network architectures retinal OCT images state-of-the-art model OCT deblurring methods
	swCaffe: a Parallel Framework for Accelerating Deep Learning Applications on Sunway TaihuLight 会议论文 2018 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER), 2018-01-01 作者: Li, Liandeng; Fang, Jiarui; Fu, Haohuan; Jiang, Jinlei; Zhao, Wenlai 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/30 Cluster computing Deep neural networks Network architecture Network layers Stochastic systems Supercomputers Heterogeneous many-core architectures High efficient Many-core architecture Multiple processors Optimization strategy Parallel framework Stochastic gradient descent Synchronization scheme Computer architecture
	When ensemble learning meets deep learning: a new deep support vector machine for classification 期刊论文 Knowledge-based systems, 2016, 卷号: 107, 页码: 54-60 作者: Qi, Zhiquan; Wang, Bo; Tian, Yingjie; Zhang, Peng 收藏 \| 浏览/下载：32/0 \| 提交时间：2019/05/09 Pattern recognition Deep architectures Support vector machine

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台湾学术机构典藏
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