@article{oai:mejiro.repo.nii.ac.jp:00001515,
 author = {川島, 重徳 and 新井, 正一 and KAWASHIMA, Shigenori and ARAI, Masakazu},
 issue = {15},
 journal = {目白大学総合科学研究, Mejiro Journal of Social and Natural Sciences},
 month = {Mar},
 note = {pdf, This study aims to examine the possibility of wood identification using user-customized features of IBM’s image recognition system “Watson Visual Recognition.” In addition to realizing a wood identification function, the study objective was to advance knowledge in wood identification through the user’s active involvement in building a learning model. Resultantly, it was demonstrated that using the REST API provided by the system allows building a web application that flexibly supports model building. Moreover, the user’s efforts in building a learning model are expected to improve their wood identification capabilities.},
 pages = {129--134},
 title = {Watson Visual Recognitionを活用した樹種識別の可能性について},
 year = {2019}
}