1. |
韩婧, 康骅. 甲状腺癌的发病现状及影响因素. 实用预防医学, 2018, 25(7): 894-897.
|
2. |
Hotelling H. Relations between two sets of variates. Biometrika, 1936, 28(3/4): 321-377.
|
3. |
Hardoon D R, Szedmak S, Shawe-Taylor J. Canonical correlation analysis: an overview with application to learning methods. Neural Comput, 2004, 16(12): 2639-2664.
|
4. |
Rasiwasia N, Pereira J C, Coviello E, et al. A new approach to cross-modal multimedia retrieval//Proceedings of the 18th ACM International Conference on Multimedia. New York: ACM Press, 2010: 251-260.
|
5. |
Gong Yunchao, Ke Qifa, Michael I, <italic>et al</italic>. A multi-view embedding space for modeling internet images. Int J Comput Vis, 2012, 106(2): 210-233.
|
6. |
Li Dongge, Nevenka D, Li Mingkun, et al. Multimedia content processing through cross-modal association//Proceedings of the 11th ACM International Conference on Multimedia. New York: ACM Press, 2003: 604-611.
|
7. |
Zhai Xiaohua, Peng Yuxin, Xiao Jianguo. Heterogeneous metric learning with joint graph regularization for cross-media retrieval//Proc of the 27th AAAI Conference on Artificial Intelligence, Washington: AAAI Press, 2013: 1198-1204.
|
8. |
Zhai Xiaohua, Peng Yuxin, Xiao Jianguo. Learning cross-media joint representation with sparse and semi-supervised regularization. IEEE Transactions on Circuits and Systems for Video Technology, 2014, 24(6): 965-978.
|
9. |
Wang Kaiye, He Ran, Wang Liang, <italic>et al</italic>. Joint feature selection and subspace learning for cross-modal retrieval. IEEE Trans Pattern Anal Mach Intell, 2016, 38(10): 2010-2023.
|
10. |
Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks. Commun ACM, 2017, 60(6): 84-90.
|
11. |
Ren Shaoqing, He Kaiming, Girshick R, <italic>et al</italic>. Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans Pattern Anal Mach Intell, 2017, 39(6): 1137-1149.
|
12. |
Jiquan N, Aditya K, Mingyu K, et al. Multimodal deep learning//Proc of the 28th International Conference on Machine Learning, Bellevue: ICML Press, 2011: 689-696.
|
13. |
Feng Fangxiang, Wang Xiaojie, Li Ruifan. Cross-modal retrieval with correspondence autoencoder//Proceedings of the ACM International Conference on Multimedia - MM '14, New York: ACM Press, 2014: 7-16.
|
14. |
Galen A, Raman A, Jeff B, et al. Deep canonical correlation analysis//Proc of the 30th International Conference on Mache Learning, Atlanta: ACM Press, 2013: 1247-1255.
|
15. |
Fei Yan, Mikolajczyk K. Deep correlation for matching images and text//2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston: IEEE, 2015: 3441-3450.
|
16. |
Peng Yuxin, Qi Jinwei, Xin Huang, <italic>et al</italic>. CCL: cross-modal correlation learning with multigrained fusion by hierarchical network. IEEE Transactions on Multimedia, 2018, 20(2): 405-420.
|
17. |
Ian J G, Jean P A, Mehdi M, et al. Generative adversarial nets//Proc of the 27th International Conference on Neural Information Processing Systems, Cambridge: MIT Press, 2014: 2672-2680.
|
18. |
Augustus O, Christopher O, Jonathon S. Conditional image synthesis with auxiliary classifier GANs//Proceedings of the 34th International Conference on Machine Learning, Sydney: ACM Press, 2017: 2642-2651.
|
19. |
Scott R, Zeynep A, Santosh M, et al. Learning what and where to draw//Proc of the 30th International Conference on Neural Information Processing Systems. Barcelona: ACM Press, 2016: 217–225.
|
20. |
Zhang Han, Xu Tao, Li Hongsheng, et al. StackGAN: text to photo-realistic image synthesis with stacked generative adversarial networks//2017 IEEE International Conference on Computer Vision (ICCV), Venice: IEEE. 2017: 1-8.
|
21. |
Peng Yuxin, Qi Jinwei. CM-GANs: cross-modal generative adversarial networks for common representation learning. ACM Transactions on Multimedia Computing, Communications, and Applications, 2019, 15(1): 22.
|
22. |
Karen S, Andrew Z. Very deep convolutional networks for large-scale image recognition. (2014-9-4). [2015-4-25]. https://arxiv.org/abs/1409.1556.
|
23. |
Tomas M, Ilya S, Kai C, et al. Distributed representations of words and phrases and their compositionality// Proc of the 26th International Conference on Neural Information Processing Systems, Lake Tahoe: ACM Press, 2013: 3111–3119.
|