Computer Science ›› 2020, Vol. 47 ›› Issue (11A): 126-131.doi: 10.11896/jsjkx.200300115
• Artificial Intelligence • Previous Articles Next Articles
XIAO Yong, QIAN Bin, ZHOU Mi
CLC Number:
[1] YANG Y.Cross-media Information Technology and Application[M].Publishing House of Electronics Industry,2014. [2] HUANG Y,ZHANG H.Cross-media Retrieval Algorithm Basedon Latent Semantic Topic Enhancement[J].Journal of Computer Applications,2017,37(4):1061-1064,1110. [3] SHANG X,ZHANG H,CHUA T S.Deep Learning GenericFeatures for Cross-Media Retrieval[C]//International Conference on.Springer-Verlag New York,Inc.2016. [4] PENG Y X,ZHU W W,ZHAO Y,et al.Cross-media analysis and reasoning:advances and directions[J].Frontiers of Information Technology & Electronic Engineering,2017,18(1):44-57. [5] XIONG H X,YANG Z R,JIANG W X.Research on Semantic Relevance of Multimodal Data in Cross-media Knowledge Graph Construction[J].Information studies:Theory & Application,2019,42(2):17-22,28. [6] WEI Y C.Semantic Classification and Retrieval of Cross-media Data[D].Beijing:Beijing Jiaotong University,2016. [7] FAN M,WANG W,DONG P,et al.Cross-media Retrieval byLearning Rich Semantic Embeddings of Multimedia[C]//Acm on Multimedia Conference.ACM,2017. [8] WANG Y Z.Electric Power Metering Technology[M].ChinaElectric Power Press,2015. [9] XIAO Y,ZHAO W,LUO R X,et al.Survey of Digital Electric Power Metering Algorithms[J].Electrical Measurement & Ins-trumentation,2018,55(7):1-7. [10] LIU Q,LI Y,DUAN H,et al.Overview of Knowledge GraphConstruction Technology[J].Journal of Computer Research and Development,2016(3):582-600. [11] LU T,JIN Y,SU F,et al.Content-oriented multimedia document understanding through cross-media correlation[J].Multimedia Tools and Applications,2015,74(18):8105-8135. [12] PENG X.Research on Cross-media Semantic Retrieval of Digital Library Based on Deep Learning[J].Information Research,2018(2):16-19. [13] LOWE D G.Distinctive Image Features from Scale-InvariantKeypoints[J].International Journal of Computer Vision,2004,60(2):91-110. [14] FOOTE J T.Content-based retrieval of music and audio[C]//Multimedia Storage & Archiving Systems II.International Society for Optics and Photonics,1997. [15] HOFMANNT.Unsupervised Learning by Probabilistic LatentSemantic Analysis[J].Machine Learning,2001,42(1/2):177-196. [16] HUANG X W,YAN M,SANG J T,et al.Knowledge Association and Collaborative Application Across Networks Based on Association Rule Mining[J].Computer Science,2016,43(7):51-56. [17] MING J R,HE C.Research on Cross-media Retrieval Method of Digital Library Based on Semantic Association Mining[J].Lib-rary and Information Service,2013(7):101-105. |
[1] | RAO Zhi-shuang, JIA Zhen, ZHANG Fan, LI Tian-rui. Key-Value Relational Memory Networks for Question Answering over Knowledge Graph [J]. Computer Science, 2022, 49(9): 202-207. |
[2] | WU Zi-yi, LI Shao-mei, JIANG Meng-han, ZHANG Jian-peng. Ontology Alignment Method Based on Self-attention [J]. Computer Science, 2022, 49(9): 215-220. |
[3] | KONG Shi-ming, FENG Yong, ZHANG Jia-yun. Multi-level Inheritance Influence Calculation and Generalization Based on Knowledge Graph [J]. Computer Science, 2022, 49(9): 221-227. |
[4] | CAO Xiao-wen, LIANG Mei-yu, LU Kang-kang. Fine-grained Semantic Reasoning Based Cross-media Dual-way Adversarial Hashing Learning Model [J]. Computer Science, 2022, 49(9): 123-131. |
[5] | XU Yong-xin, ZHAO Jun-feng, WANG Ya-sha, XIE Bing, YANG Kai. Temporal Knowledge Graph Representation Learning [J]. Computer Science, 2022, 49(9): 162-171. |
[6] | QIN Qi-qi, ZHANG Yue-qin, WANG Run-ze, ZHANG Ze-hua. Hierarchical Granulation Recommendation Method Based on Knowledge Graph [J]. Computer Science, 2022, 49(8): 64-69. |
[7] | WANG Jie, LI Xiao-nan, LI Guan-yu. Adaptive Attention-based Knowledge Graph Completion [J]. Computer Science, 2022, 49(7): 204-211. |
[8] | MA Rui-xin, LI Ze-yang, CHEN Zhi-kui, ZHAO Liang. Review of Reasoning on Knowledge Graph [J]. Computer Science, 2022, 49(6A): 74-85. |
[9] | DENG Kai, YANG Pin, LI Yi-zhou, YANG Xing, ZENG Fan-rui, ZHANG Zhen-yu. Fast and Transmissible Domain Knowledge Graph Construction Method [J]. Computer Science, 2022, 49(6A): 100-108. |
[10] | DU Xiao-ming, YUAN Qing-bo, YANG Fan, YAO Yi, JIANG Xiang. Construction of Named Entity Recognition Corpus in Field of Military Command and Control Support [J]. Computer Science, 2022, 49(6A): 133-139. |
[11] | XIONG Zhong-min, SHU Gui-wen, GUO Huai-yu. Graph Neural Network Recommendation Model Integrating User Preferences [J]. Computer Science, 2022, 49(6): 165-171. |
[12] | HAN Hong-qi, RAN Ya-xin, ZHANG Yun-liang, GUI Jie, GAO Xiong, YI Meng-lin. Study on Cross-media Information Retrieval Based on Common Subspace Classification Learning [J]. Computer Science, 2022, 49(5): 33-42. |
[13] | ZHONG Jiang, YIN Hong, ZHANG Jian. Academic Knowledge Graph-based Research for Auxiliary Innovation Technology [J]. Computer Science, 2022, 49(5): 194-199. |
[14] | LIANG Jing-ru, E Hai-hong, Song Mei-na. Method of Domain Knowledge Graph Construction Based on Property Graph Model [J]. Computer Science, 2022, 49(2): 174-181. |
[15] | LI Jia-ming, ZHAO Kuo, QU Ting, LIU Xiao-xiang. Research and Analysis of Blockchain Internet of Things Based on Knowledge Graph [J]. Computer Science, 2021, 48(6A): 563-567. |
|