CSpace

浏览/检索结果: 共11条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Combination of graphics, uncertainty, and semantics: A survey 期刊论文
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2021, 页码: 14
作者:  Gao, Yuan;  Rafi, Muhammad Adnan
收藏  |  浏览/下载:22/0  |  提交时间:2022/06/21
computer science  graph-based knowledge representation  knowledge representation  probabilistic graphical model  probability  
Multi-label classification of research articles using Word2Vec and identification of similarity threshold 期刊论文
SCIENTIFIC REPORTS, 2021, 卷号: 11, 期号: 1, 页码: 20
作者:  Mustafa, Ghulam;  Usman, Muhammad;  Yu, Lisu;  Afzal, Muhammad Tanvir;  Sulaiman, Muhammad;  Shahid, Abdul
收藏  |  浏览/下载:30/0  |  提交时间:2022/06/21
DeepFaceEditing: Deep Face Generation and Editing with Disentangled Geometry and Appearance Control 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2021, 卷号: 40, 期号: 4, 页码: 15
作者:  Chen, Shu-Yu;  Liu, Feng-Lin;  Lai, Yu-Kun;  Rosin, Paul L.;  Li, Chunpeng;  Fu, Hongbo;  Gao, Lin
收藏  |  浏览/下载:38/0  |  提交时间:2021/12/01
Deep image generation  face editing  image disentangling  sketch-based interfaces  
Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 7, 页码: 2903-2913
作者:  Chen, Jingwu;  Zhuang, Fuzhen;  Wang, Tianxin;  Lin, Leyu;  Xia, Feng;  Du, Lihuan;  He, Qing
收藏  |  浏览/下载:42/0  |  提交时间:2021/12/01
Task analysis  Predictive models  Lifting equipment  Mobile applications  Collaboration  User experience  Article recommendation  dwell time prediction  click-guide network  
Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 6, 页码: 2467-2478
作者:  Ma, Ke;  Zeng, Jinshan;  Xiong, Jiechao;  Xu, Qianqian;  Cao, Xiaochun;  Liu, Wei;  Yao, Yuan
收藏  |  浏览/下载:38/0  |  提交时间:2021/12/01
Ordinal embedding  SVRG  non-convex optimization  barzilai-borwein (BB) step size  
A neural topic model with word vectors and entity vectors for short texts 期刊论文
INFORMATION PROCESSING & MANAGEMENT, 2021, 卷号: 58, 期号: 2, 页码: 11
作者:  Zhao, Xiaowei;  Wang, Deqing;  Zhao, Zhengyang;  Liu, Wei;  Lu, Chenwei;  Zhuang, Fuzhen
收藏  |  浏览/下载:31/0  |  提交时间:2021/12/01
Topic model  Short text  Variational auto-encoder  Word embedding  Entity embedding  
Truth Discovery by Claim and Source Embedding 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 3, 页码: 1264-1275
作者:  Lyu, Shanshan;  Ouyang, Wentao;  Wang, Yongqing;  Shen, Huawei;  Cheng, Xueqi
收藏  |  浏览/下载:39/0  |  提交时间:2021/12/01
Reliability  Object oriented modeling  Iterative methods  Probabilistic logic  Data science  Computer aided software engineering  Data models  Truth discovery  crowdsourcing  representation learning  
Accurate and Explainable Recommendation via Hierarchical Attention Network Oriented Towards Crowd Intelligence 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 213, 页码: 13
作者:  Yang, Chao;  Zhou, Weixin;  Wang, Zhiyu;  Jiang, Bin;  Li, Dongsheng;  Shen, Huawei
收藏  |  浏览/下载:40/0  |  提交时间:2021/12/01
Crowd intelligence  Explainable recommendation  Hierarchical attention  Review representation  Recommender system  
Feature Rescaling and Fusion for Tiny Object Detection 期刊论文
IEEE ACCESS, 2021, 卷号: 9, 页码: 62946-62955
作者:  Liu, Jingwei;  Gu, Yi;  Han, Shumin;  Zhang, Zhibin;  Guo, Jiafeng;  Cheng, Xueqi
收藏  |  浏览/下载:29/0  |  提交时间:2021/12/01
Feature extraction  Object detection  Semantics  Task analysis  Training  Spatial resolution  Shape  Tiny object detection  nonparametric adaptive selection  feature fusion  feature pyramid network  ensemble model  
Hybrid-Attention Enhanced Two-Stream Fusion Network for Video Venue Prediction 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 2917-2929
作者:  Zhang, Yanchao;  Min, Weiqing;  Nie, Liqiang;  Jiang, Shuqiang
收藏  |  浏览/下载:38/0  |  提交时间:2021/12/01
Visualization  Feature extraction  Convolution  Streaming media  Object oriented modeling  Three-dimensional displays  Neural networks  Feature extraction  knowledge representation  supervised learning  video signal processing