188 citations · 262 across the 11 of their papers we have counts for
12 papers
Confidence-Aware Learning Assistant
Shoya Ishimaru, Takanori Maruichi, Andreas Dengel +1
Not only correctness but also self-confidence play an important role in improving the quality of knowledge. Undesirable situations such as confident incorrect and unconfident corre…
Self-supervised Deep Learning for Reading Activity Classification
Md. Rabiul Islam, Shuji Sakamoto, Yoshihiro Yamada +4
Reading analysis can give important information about a user's confidence and habits and can be used to construct feedback to improve a user's reading behavior. A lack of labeled d…
Distortion-Adaptive Grape Bunch Counting for Omnidirectional Images
Ryota Akai, Yuzuko Utsumi, Yuka Miwa +2
This paper proposes the first object counting method for omnidirectional images. Because conventional object counting methods cannot handle the distortion of omnidirectional images…
A Quantum Algorithm for Finding -Minima
Kohei Miyamoto, Masakazu Iwamura, Koichi Kise
We propose a new finding -minima algorithm and prove that its query complexity is , where is the number of data indices. Though the complexity is equ…
Quantum Speedup for the Minimum Steiner Tree Problem
Masayuki Miyamoto, Masakazu Iwamura, Koichi Kise +1
A recent breakthrough by Ambainis, Balodis, Iraids, Kokainis, Prūsis and Vihrovs (SODA'19) showed how to construct faster quantum algorithms for the Traveling Salesman Problem and…
Facial Landmark Detection for Manga Images
Marco Stricker, Olivier Augereau, Koichi Kise +1
The topic of facial landmark detection has been widely covered for pictures of human faces, but it is still a challenge for drawings. Indeed, the proportions and symmetry of standa…