Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Nga Hang Do"'
Autor:
Nga Quynh Nguy, Son Truong Din, Khanh Ngoc Pham, Nga Hang Do, Huyen Thanh Pham, Phip Thi Ninh
Publikováno v:
Asian Journal of Plant Sciences. 20:637-647
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b28743c6735dd4362ae65535b63dd11
https://doi.org/10.3923/ajps.2021.637.647
https://doi.org/10.3923/ajps.2021.637.647
Autor:
Thin, Thanh Thi Pham, Huyen, Thanh Thi Tran, Phi Bang, Cao, Phip, Thi Ninh, Nga, Hang Do, Son, Truong Dinh
Publikováno v:
Pakistan journal of biological sciences : PJBS. 25(3)
lt;bgt;Background and Objective:lt;/bgt; Plant genetic resources provide the raw material for crop improvement and plant breeding program largely depends on it. Therefore, the evaluation of plant genetic resources plays a critical role in crop improv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::2a20437e038548ddfaaa11d273a94105
https://pubmed.ncbi.nlm.nih.gov/35234010
https://pubmed.ncbi.nlm.nih.gov/35234010
Autor:
Nga Hang Do, Keiji Yanai
Publikováno v:
IEICE Transactions on Information and Systems. :2788-2795
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63c9f6b6c7d4b63bcf328a2e42606ee8
https://doi.org/10.1587/transinf.2016edp7108
https://doi.org/10.1587/transinf.2016edp7108
Autor:
Nga Hang Do, Keiji Yanai
Publikováno v:
IEICE Transactions on Information and Systems. :166-172
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::808314a934eb7ad781808201c4ecf384
https://doi.org/10.1587/transinf.2014edp7106
https://doi.org/10.1587/transinf.2014edp7106
Autor:
Keiji Yanai, Nga Hang Do
Publikováno v:
Image and Video Technology ISBN: 9783319294506
PSIVT
PSIVT
In this paper, we introduce a fully automatic approach to construct action datasets from noisy Web video search results. The idea is based on combining cluster structure analysis and density-based outlier detection. For a specific action concept, fir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::684c88503052d0291a15d6f61527b743
https://doi.org/10.1007/978-3-319-29451-3_14
https://doi.org/10.1007/978-3-319-29451-3_14
Autor:
Nga Hang Do, Keiji Yanai
Publikováno v:
Computer Vision-ACCV 2014 Workshops ISBN: 9783319166278
ACCV Workshops (1)
ACCV Workshops (1)
In this paper, we develop an effective method of detecting and tracking hands in uncontrolled videos based on multiple cues including hand shape, skin color, upper body position and flow information. We apply our hand detection results to perform fin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0e7f5fcb8d24e4c4bdbfc517b3da38b
https://doi.org/10.1007/978-3-319-16628-5_2
https://doi.org/10.1007/978-3-319-16628-5_2