<i>c</i>-SNE: Deep Cross-modal Retrieval based on Subjective Information using Stochastic Neighbor Embedding

Author:

Yamada Yusuke1,Okoshi Tadashi2,Nakazawa Jin2

Affiliation:

1. ispec inc.

2. Faculty of Environment and Information Studies, Keio University

Publisher

Information Processing Society of Japan

Subject

General Computer Science

Reference44 articles.

1. [1] 吉岡賢治,岩永 誠:映像と音楽の相互作用における記憶促進要因,広島大学大学院総合科学研究科紀要, Vol.2, p.35 (2007).

2. [2] Wang, K., Yin, Q., Wang, W., Wu, S. and Wang, L.: A comprehensive survey on cross-modal retrieval (2016).

3. [3] Hotelling, H.: Relations between two sets of variates, Breakthroughs in statistics, pp.162-190, Springer (1992).

4. [4] Ngiam, J., Khosla, A., Kim, M., Nam, J., Lee, H. and Ng, A.Y.: Multimodal deep learning, Proc. International Conference on Machine Learning (2011).

5. [5] Hu, P., Zhen, L., Peng, D. and Liu, P.: Scalable Deep Multimodal Learning for Cross-Modal Retrieval, Proc. 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'19, pp.635-644, Association for Computing Machinery (online), DOI: 10.1145/3331184.3331213 (2019).

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