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 001 (APSIPA ASC, 2021)

Accurate and Practical Query-by-Example Using Multiple Deep Learning Models and Frame Compression Methods. - Hikaru Yamaga; Kazuki Hatakeyama; Kazunori Kojima; Shi-wook Lee; Yoshiaki Itoh 001 (APSIPA ASC, 2023)