Deep Unsupervised Convolutional Domain Adaptation-Reference-Cited by-同舟云学术

Deep Unsupervised Convolutional Domain Adaptation

Published:2017-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th ACM international conference on Multimedia
language:
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Author:

Zhuo Junbao¹,Wang Shuhui²,Zhang Weigang³,Huang Qingming⁴

Affiliation:

1. Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

2. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

3. Harbin Institute of Technology (Weihai), Weihai, China

4. University of Chinese Academy of Sciences & Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

Funder

Key Research Program of Frontier Sciences of CAS

National Natural Science Foundation of China

National Basic Research Program of China (973 Program)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3123266.3123292

Reference51 articles.

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2. Shai Ben-David John Blitzer Koby Crammer and Fernando Pereira. 2006. Analysis of representations for domain adaptation. NIPS. 137--144. Shai Ben-David John Blitzer Koby Crammer and Fernando Pereira. 2006. Analysis of representations for domain adaptation. NIPS. 137--144.

3. Biographies, Bollywood;Blitzer John;Boomboxes And Blenders: Domain Adaptation For Sentiment Classification. Acl,2007

4. Jane Bromley Isabelle Guyon Yann Lecun Eduard Sadckinger and Roopak Shah. 1993. Signature Verification Using a Siamese Time Delay Neural Network NIPS. 737--744. Jane Bromley Isabelle Guyon Yann Lecun Eduard Sadckinger and Roopak Shah. 1993. Signature Verification Using a Siamese Time Delay Neural Network NIPS. 737--744.

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