Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yue-Fang Gao"'
Publikováno v:
2016 6th International Conference on Digital Home (ICDH).
Obstacle removal is a classic problem in image processing. Because the content behind obstacle can't be deduced only from one image, we introduce a motion obstacle removal problem from an image sequence. It is regarded as a sparse problem with the ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::258a08e17419cd558357256d2a13373e
https://doi.org/10.1109/icdh.2016.020
https://doi.org/10.1109/icdh.2016.020
Publikováno v:
Advanced Materials Research. :943-947
Land surface temperature (LST) is a key parameter of surface physical process and plays an important significance to the energy balance in the world. In this paper, based on the knowledge of atmospheric radiative transfer and the comparability of two
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32b28dc451ecf822ce1d460ce076c3fd
https://doi.org/10.4028/www.scientific.net/amr.108-111.943
https://doi.org/10.4028/www.scientific.net/amr.108-111.943
Publikováno v:
2011 Chinese Control and Decision Conference (CCDC).
This paper proposes the realization of a demand forecasting algorithm for retail industry. It categorizes the merchandises into four cases according to the availability of the historical demand, and suggests processes to deal with each individual cas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::013b0f926e24b610be4d08b36f93cfde
https://doi.org/10.1109/ccdc.2011.5968968
https://doi.org/10.1109/ccdc.2011.5968968
Publikováno v:
2010 8th World Congress on Intelligent Control and Automation.
To obtain the inherent laws from large amounts of data records in retail industry and to provide valuable information for retailers, this paper presents a neural-network-based forecasting algorithm, which adopts Holt-Winters' model and a neural netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::556767ea8946381acc64da3c43a6dfcd
https://doi.org/10.1109/wcica.2010.5554890
https://doi.org/10.1109/wcica.2010.5554890
Publikováno v:
2010 Chinese Control and Decision Conference.
To provide retailers with market and trend analysis, and lower inventory cost from large amounts of data accumulated in the sales process, this paper presents a neural-network-based demand forecasting system implemented in the VBA environment. Throug
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0f217ad1ad1948db333a5e2af2e5390
https://doi.org/10.1109/ccdc.2010.5498506
https://doi.org/10.1109/ccdc.2010.5498506
Publikováno v:
2009 International Conference on Machine Learning and Cybernetics.
To obtain the inherent laws from large amounts of data records in retail industry and to provide valuable information for retailers, this paper presents a neural-network-based forecasting algorithm, which adopts Holt-Winters' model and a neural netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::171309efa4b75a487bb7a84ca920a760
https://doi.org/10.1109/icmlc.2009.5212392
https://doi.org/10.1109/icmlc.2009.5212392
Publikováno v:
2006 International Conference on Machine Learning & Cybernetics; 2006, p3991-3995, 5p