Interest Level Estimation Using Behavior Information through Multi-view Feature Integration Considering Partial and Ordered Labels-Reference-Cited by-同舟云学术

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Interest Level Estimation Using Behavior Information through Multi-view Feature Integration Considering Partial and Ordered Labels

Published:2022-07-05 Issue: Volume: Page:
ISSN:
Container-title:2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)
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Author:

Kamikawa Kyohei¹,Maeda Keisuke²,Ogawa Takahiro²,Haseyama Miki²

Affiliation:

1. Graduate School of Information Science and Technology, Hokkaido University,Sapporo,Japan

2. Hokkaido University,Faculty of Information Science and Technology,Sapporo,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9894733/9894851/09894995.pdf?arnumber=9894995

Reference8 articles.

1. Deep canonical correlation analysis;andrew;Proceedings of International Conference on Machine Learning,2013

2. Multi-view canonical correlation analysis;rupnik;Conference on Data Mining and Data Warehouses,2010

3. Semi-supervised Gaussian process latent variable model with pairwise constraints

4. Learning shared latent structure for image synthesis and robotic imitation;shon;Proceedings of the Advances in Neural Information Processing Systems,2006

5. Bayesian canonical correlation analysis;klami;Journal of Machine Learning Research,2013

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