A Novel Multi-class Classification Framework Based on Local OVR Deep Neural Network-Reference-Cited by-同舟云学术

A Novel Multi-class Classification Framework Based on Local OVR Deep Neural Network

Published:2020-10-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th International Conference on Computer Science and Application Engineering
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Author:

Chen Yuan¹,Wang Junyan²

Affiliation:

1. The 36th Research Institute of China Electronics Technology Group Corporation, Jiaxing, China

2. Information Technology Department, Yangtze Delta Region Institute of Tsinghua University, Zhejiang, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3424978.3425026

Reference19 articles.

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2. Qiuying Shi (2016). Deep Learning-based and Transfer Learning-based Environment Sound Recognition. (Doctoral dissertation). Qiuying Shi (2016). Deep Learning-based and Transfer Learning-based Environment Sound Recognition. (Doctoral dissertation).

3. Keith Dana Martin and Barry L Vercoe (1999). Sound-source recognition: a theory and computational model. Phd thesis MIT. Keith Dana Martin and Barry L Vercoe (1999). Sound-source recognition: a theory and computational model. Phd thesis MIT.

4. Jaeger C P and Laszlo C A (1999). Machine recognition of sound sources. Canadian acoustics 27(3). Jaeger C P and Laszlo C A (1999). Machine recognition of sound sources. Canadian acoustics 27(3).

5. Swahney N and Maes P (1997). Situational Awareness from Environmental Sounds. Swahney N and Maes P (1997). Situational Awareness from Environmental Sounds.

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