Zobrazeno 1 - 10
of 26
pro vyhledávání: '"KATANYUKUL, Tatpong"'
Thai Finger Spelling (TFS) sign recognition could benefit a community of hearing-difficulty people in bridging to a major hearing population. With a relatively large number of alphabets, TFS employs multiple signing schemes. Two schemes of more commo
Externí odkaz:
http://arxiv.org/abs/2201.03170
Despite overwhelming achievements in recognition accuracy, extending an open-set capability -- ability to identify when the question is out of scope -- remains greatly challenging in a scalable machine learning inference. A recent research has discov
Externí odkaz:
http://arxiv.org/abs/2110.15548
Autor:
Nakjai, Pisit, Katanyukul, Tatpong
Sign language is a main communication channel among hearing disability community. Automatic sign language transcription could facilitate better communication and understanding between hearing disability community and hearing majority. As a recent wor
Externí odkaz:
http://arxiv.org/abs/2110.15542
Autor:
Katanyukul, Tatpong, Nakjai, Pisit
This study investigates an application of a new probabilistic interpretation of a softmax output to Open-Set Recognition (OSR). Softmax is a mechanism wildly used in classification and object recognition. However, a softmax mechanism forces a model t
Externí odkaz:
http://arxiv.org/abs/2108.12115
Autor:
NAKJAI, Pisit1, KATANYUKUL, Tatpong2 tatpong@kku.ac.th
Publikováno v:
Walailak Journal of Science & Technology. 7/1/2021, Vol. 18 Issue 13, p1-19. 19p.
Publikováno v:
Progress in Artificial Intelligence (2192-6352); Jun2022, Vol. 11 Issue 2, p151-168, 18p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
ACM International Conference Proceeding Series; 8/16/2019, p164-169, 6p
Publikováno v:
ACM International Conference Proceeding Series; 1/16/2019, p230-233, 4p