4 citations · 4 across the 2 of their papers we have counts for
3 papers
Infrared bubble recognition in the Milky Way and beyond using deep learning
Shimpei Nishimoto, Toshikazu Onishi, Atsushi Nishimura +9
We propose a deep learning model that can detect Spitzer bubbles accurately using two-wavelength near-infrared data acquired by the Spitzer Space Telescope and JWST. The model is b…
Wavetable Synthesis Using CVAE for Timbre Control Based on Semantic Label
Tsugumasa Yutani, Yuya Yamamoto, Shuyo Nakatani +1
Synthesizers are essential in modern music production. However, their complex timbre parameters, often filled with technical terms, require expertise. This research introduces a me…
Structure Learning of Markov Random Fields through Grow-Shrink Maximum Pseudolikelihood Estimation
Yuya Takashina, Shuyo Nakatani, Masato Inoue
Learning the structure of Markov random fields (MRFs) plays an important role in multivariate analysis. The importance has been increasing with the recent rise of statistical relat…