Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Koichi Ogawara"'
Publikováno v:
PLoS ONE, Vol 8, Iss 10, p e76980 (2013)
We propose a novel method for recognizing sequential patterns such as motion trajectory of biological objects (i.e., cells, organelle, protein molecules, etc.), human behavior motion, and meteorological data. In the proposed method, a local classifie
Externí odkaz:
https://doaj.org/article/c38f6cb1161c4bfa905075242a7fde12
Autor:
Daiki Sonegawa, Koichi Ogawara
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fee4aebe9cc2010a213966248d2fc4e
https://doi.org/10.1109/icra46639.2022.9811551
https://doi.org/10.1109/icra46639.2022.9811551
Autor:
Haoqi Gao, Koichi Ogawara
Publikováno v:
2022 7th International Conference on Control and Robotics Engineering (ICCRE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38e19f96d3e6ab6a785d7d353d64f44b
https://doi.org/10.1109/iccre55123.2022.9770233
https://doi.org/10.1109/iccre55123.2022.9770233
Autor:
Haoqi Gao, Koichi Ogawara
Publikováno v:
2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0302836e1c20ddd09289a924049d8104
https://doi.org/10.1109/cacml55074.2022.00073
https://doi.org/10.1109/cacml55074.2022.00073
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 139:625-631
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e87230e3872bb214795d34baf97372e0
https://doi.org/10.1541/ieejeiss.139.625
https://doi.org/10.1541/ieejeiss.139.625
Autor:
Keita Iseki, Koichi Ogawara
Publikováno v:
IROS
In this research, we propose a method of estimating object class and orientation given multiple input images assuming the relative camera orientations are known. Input images are transformed to descriptors on 2-D manifolds defined for each class of o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::505b549461cf2f90eb9f039489f2f008
https://doi.org/10.1109/iros45743.2020.9340771
https://doi.org/10.1109/iros45743.2020.9340771
Autor:
Haoqi Gao, Koichi Ogawara
Publikováno v:
AIPR
Polyps are one of the main reasons of colorectal cancer. Early screening of diseases has critical value for clinical diagnosis. However, considering variations in the size and shape of polyps, colonoscopy is a challenging task in the diagnosis of pol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cd3ae9730c53208838b60a828830f89
https://doi.org/10.1109/aipr50011.2020.9425046
https://doi.org/10.1109/aipr50011.2020.9425046
Autor:
Haoqi Gao, Koichi Ogawara
Publikováno v:
Twelfth International Conference on Digital Image Processing (ICDIP 2020).
Currently, image-to-image translation tasks have been extensively investigated by Generative Adversarial Network (GAN) 1 and Neural Style2 . However, the model of the GAN can easily lead to network collapse, making the generation process free and unc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd676915212b40a9b8ebee24fc660426
https://doi.org/10.1117/12.2572909
https://doi.org/10.1117/12.2572909
Autor:
Koichi Ogawara, Gao HaoQi
Publikováno v:
2020 5th International Conference on Control and Robotics Engineering (ICCRE).
Computer-aided medical diagnosis is widely used to assist in the interpretation of medical images. Early screening of diseases has a great value for the clinical diagnosis. However, medical images are scarce and fraught with legal concerns about pati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a06cac9436dc0e0847184661f4203b1
https://doi.org/10.1109/iccre49379.2020.9096438
https://doi.org/10.1109/iccre49379.2020.9096438
Autor:
Yukimasa HARA, Koichi OGAWARA
Publikováno v:
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2021:2P3-C11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10eae641889d40c7ef2fdabc423ddf8b
https://doi.org/10.1299/jsmermd.2021.2p3-c11
https://doi.org/10.1299/jsmermd.2021.2p3-c11