Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Random tree sampling"'
Akademický článek
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Publikováno v:
DICTA
The maximum consensus problem lies at the core of several important computer vision applications as it is one of the most popular criteria for robust estimation. Although considerable efforts have been devoted to solving this problem, exact algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c183f63a6f1b7f60c1e533ba3b26c5d
https://doi.org/10.1109/dicta.2017.8227480
https://doi.org/10.1109/dicta.2017.8227480
Autor:
Makoto Tanji, Hitoshi Iba
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 130:775-781
We propose a new program evolution method named PORTS (Program Optimization by Random Tree Sampling) which is motivated by the idea of preservation and control of tree fragments in GP (Genetic Programming). We assume that to recombine genetic materia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e91a5e744523fe2493392b18fd88130
https://doi.org/10.1541/ieejeiss.130.775
https://doi.org/10.1541/ieejeiss.130.775
Conference
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Autor:
Makoto Tanji, Hitoshi Iba
Publikováno v:
GECCO
This paper describes a new program evolution method named PORTS (Program Optimization by Random Tree Sampling) which is motivated by the idea of preservation and control of tree fragments. We hypothesize that to reconstruct building blocks efficientl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::606d0ccf1400259ac3c0cc8c4523db65
https://doi.org/10.1145/1569901.1570053
https://doi.org/10.1145/1569901.1570053
Conference
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Autor:
Xin, Peng1 (AUTHOR), Wang, Xiaomin1 (AUTHOR) ztds8579390@163.com, Liu, Xiaoli1 (AUTHOR), Wang, Yanhui1 (AUTHOR), Zhai, Zhibo1 (AUTHOR), Ma, Xiqing1 (AUTHOR)
Publikováno v:
Sensors (14248220). Jan2023, Vol. 23 Issue 2, p1041. 12p.
Autor:
Palha, Arnaud, Murtiyoso, Arnadi, Michelin, Jean-Christophe, Alby, Emmanuel, Grussenmeyer, Pierre, Ivan, Igor, Singleton, Alex, Horák, Jiří, Inspektor, Tomáš
Publikováno v:
The Rise of Big Spatial Data
The Rise of Big Spatial Data, Springer, pp.27-39, 2016, Lecture Notes in Geoinformation and Cartography, 978-3-319-45122-0. ⟨10.1007/978-3-319-45123-7_3⟩
Lecture Notes in Geoinformation and Cartography ISBN: 9783319451220
The Rise of Big Spatial Data, Springer, pp.27-39, 2016, Lecture Notes in Geoinformation and Cartography, 978-3-319-45122-0. ⟨10.1007/978-3-319-45123-7_3⟩
Lecture Notes in Geoinformation and Cartography ISBN: 9783319451220
International audience; The use of laser scanning techniques has become a common way to measure the real world. Millions of points could be generated by this system, which brings forth the problem of visualizing and eventually performing analyses on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::354ba7f06aa45564f92840a038d4632d
https://hal.archives-ouvertes.fr/hal-02320637
https://hal.archives-ouvertes.fr/hal-02320637
Autor:
Wen, Jun1 (AUTHOR), Zhu, Jun-Wen1 (AUTHOR), Ma, Xu-Dong1 (AUTHOR), Li, Hui-Min1 (AUTHOR), Wu, Bao-Cheng1 (AUTHOR), Zhou, Wei1 (AUTHOR), Yang, Jia-Xin2 (AUTHOR), Song, Chun-Feng1 (AUTHOR) cfsong79@cnbg.net
Publikováno v:
BMC Plant Biology. 11/28/2024, Vol. 24 Issue 1, p1-16. 16p.
Publikováno v:
Computers, Materials & Continua; 2024, Vol. 80 Issue 3, p4303-4323, 21p