Multiple Deep Learning Models and Architectures with Different Numbers of States Used to Improve Retrieval Accuracy of Query-by-Example

Kazuki Hatakeyama, Masahiro Nishino, Kazunori Kojima, Shi-wook Lee, Yoshiaki Itoh 0001. Multiple Deep Learning Models and Architectures with Different Numbers of States Used to Improve Retrieval Accuracy of Query-by-Example. In Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021, Tokyo, Japan, December 14-17, 2021. pages 1067-1071, IEEE, 2021. [doi]

Abstract

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