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Bayesian dual neural networks for recommendation 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2019, 卷号: 13, 期号: 6, 页码: 1255-1265
作者:  He, Jia;  Zhuang, Fuzhen;  Liu, Yanchi;  He, Qing;  Lin, Fen
收藏  |  浏览/下载:302/0  |  提交时间:2019/12/10
collaborative filtering  Bayesian neural network  hybrid recommendation algorithm  
MV-Net: Toward Real-Time Deep Learning on Mobile GPGPU Systems 期刊论文
ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS, 2019, 卷号: 15, 期号: 4, 页码: 25
作者:  Tang, Yibin;  Wang, Ying;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载:47/0  |  提交时间:2020/12/10
Edge computing  online scheduling  deep learning  energy efficiency  approximate computing  
Predicting protein inter-residue contacts using composite likelihood maximization and deep learning (vol 20, 537, 2019) 期刊论文
BMC BIOINFORMATICS, 2019, 卷号: 20, 期号: 1, 页码: 5
作者:  Zhang, Haicang;  Zhang, Qi;  Ju, Fusong;  Zhu, Jianwei;  Gao, Yujuan;  Xie, Ziwei;  Deng, Minghua;  Sun, Shiwei;  Zheng, Wei-Mou;  Bu, Dongbo
收藏  |  浏览/下载:44/0  |  提交时间:2020/12/10
A QoS-QoR Aware CNN Accelerator Design Approach 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2019, 卷号: 38, 期号: 11, 页码: 1995-2007
作者:  Wang, Ying;  Li, Huawei;  Cheng, Long;  Li, Xiaowei
收藏  |  浏览/下载:47/0  |  提交时间:2020/12/10
Approximate computing  convolutional neural network (CNN)  deep learning (DL)  quality of service (QoS)  real-time  
Deep Hashing Based on VAE-GAN for Efficient Similarity Retrieval 期刊论文
CHINESE JOURNAL OF ELECTRONICS, 2019, 卷号: 28, 期号: 6, 页码: 1191-1197
作者:  Jin, Guoqing;  Zhang, Yongdong;  Lu, Ke
收藏  |  浏览/下载:42/0  |  提交时间:2020/12/10
file organisation  image retrieval  learning (artificial intelligence)  neural nets  pairwise hashing learning  semantic perserving feature mapping model  adversarial generative process  image feature vector  hash codes  pairwise ranking loss  generative networks  VAE-GAN based hashing framework  image retrieval  content preserving images  similarity retrieval  variational autoencoder  generative adversarial network  Image retrieval  Learning to hash  Variational autoencoder(VAE)  Generative adversarial network(GAN)  
Neural variational collaborative filtering with side information for top-K recommendation 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 卷号: 10, 期号: 11, 页码: 3273-3284
作者:  Deng, Xiaoyi;  Zhuang, Fuzhen;  Zhu, Zhiguo
收藏  |  浏览/下载:42/0  |  提交时间:2020/12/10
Neural collaborative filtering  Variational autoencoder  Top-K recommendation  Side information  Implicit feedback  
Transfer channel pruning for compressing deep domain adaptation models 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 卷号: 10, 期号: 11, 页码: 3129-3144
作者:  Yu, Chaohui;  Wang, Jindong;  Chen, Yiqiang;  Qin, Xin
收藏  |  浏览/下载:68/0  |  提交时间:2020/12/10
Unsupervised domain adaptation  Transfer channel pruning  Accelerating  
SkeletonNet: A Hybrid Network With a Skeleton-Embedding Process for Multi-View Image Representation Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 11, 页码: 2916-2929
作者:  Yang, Shijie;  Li, Liang;  Wang, Shuhui;  Zhang, Weigang;  Huang, Qingming;  Tian, Qi
收藏  |  浏览/下载:51/0  |  提交时间:2020/12/10
Semantics  Correlation  Visualization  Skeleton  Matrix decomposition  Kernel  Laplace equations  Unsupervised multi-view subspace learning  semantic inconsistency  tensor factorization  deep auto-encoders  
Predicting protein inter-residue contacts using composite likelihood maximization and deep learning 期刊论文
BMC BIOINFORMATICS, 2019, 卷号: 20, 期号: 1, 页码: 11
作者:  Zhang, Haicang;  Zhang, Qi;  Ju, Fusong;  Zhu, Jianwei;  Gao, Yujuan;  Xie, Ziwei;  Deng, Minghua;  Sun, Shiwei;  Zheng, Wei-Mou;  Bu, Dongbo
收藏  |  浏览/下载:45/0  |  提交时间:2020/12/10
Residue-residue contacts prediction  Deep learning  Markov random fields  Composite likelihood maximization  
A fast and robust 3D face recognition approach based on deeply learned face representation 期刊论文
NEUROCOMPUTING, 2019, 卷号: 363, 页码: 375-397
作者:  Cai, Ying;  Lei, Yinjie;  Yang, Menglong;  You, Zhisheng;  Shan, Shiguang
收藏  |  浏览/下载:281/0  |  提交时间:2019/12/10
3D face recognition  Deep learning  Face preprocessing  Multiple data augmentation