Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Keisuke Kameyama"'
Autor:
Takumi Morikawa, Keisuke Kameyama
Publikováno v:
2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA).
Autor:
Pavodi Maniamfu, Keisuke Kameyama
Publikováno v:
2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA).
Autor:
Tzu-Jui Huang, Keisuke Kameyama
Publikováno v:
2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA).
Autor:
U A Md Ehsan Ali, Keisuke Kameyama
Publikováno v:
2022 IEEE Symposium Series on Computational Intelligence (SSCI).
Publikováno v:
Neural Processing Letters. 53:1945-1962
There are many situations in supervised learning where the acquisition of data is very expensive and sometimes determined by a user’s budget. One way to address this limitation is active learning. In this study, we focus on a fixed budget regime an
Autor:
Takumi Morikawa, Keisuke Kameyama
Publikováno v:
2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops).
Autor:
Keita Ogawa, Keisuke Kameyama
Publikováno v:
Neural Information Processing ISBN: 9783030922726
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a087b40642be4b1001ff938837803e16
https://doi.org/10.1007/978-3-030-92273-3_54
https://doi.org/10.1007/978-3-030-92273-3_54
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :1815-1822
Publikováno v:
IJCNN
Active learning is a method of constructing a useful prediction model with the minimum number of annotations or labeling for a response variable. It is widely used as a modern experimental design method, particularly for problems with high annotation
Publikováno v:
Pattern Recognition Letters. 76:59-66
An empirical study to compare contours and skeletons is conducted.Different image datasets are prepared and different image variations are generated.Results show the superiority of contours over skeletons.A noteworthy finding is the improvements of s