المؤلفون: Yildiz, Mithat C̨aǧri^Aff17, Sharifi, Omid^Aff18, Eskandari, Maryam^Aff18

المساهمون: Hutchison, David, Series editor^Aff1, Kanade, Takeo, Series editor^Aff2, Kittler, Josef, Series editor^Aff3, Kleinberg, Jon M., Series editor^Aff4, Mattern, Friedemann, Series editor^Aff5, Mitchell, John C., Series editor^Aff6, Naor, Moni, Series editor^Aff7, Pandu Rangan, C., Series editor^Aff8, Steffen, Bernhard, Series editor^Aff9, Terzopoulos, Demetri, Series editor^Aff10, Tygar, Doug, Series editor^Aff11, Weikum, Gerhard, Series editor^Aff12, Chmielewski, Leszek J., editor^Aff13, Datta, Amitava, editor^Aff14, Kozera, Ryszard, editor^Aff15, Wojciechowski, Konrad, editor^Aff16

المصدر: Computer Vision and Graphics : International Conference, ICCVG 2016, Warsaw, Poland, September 19-21, 2016, Proceedings. 9972:353-361

المؤلفون: Min Huang, Chujie He, Qibing Zhu, Jianwei Qin

المصدر: Applied Sciences, Vol 6, Iss 6, p 183 (2016)

مصطلحات موضوعية: hyperspectral imaging, maize seed, classification, SPA, LS–SVM, feature transformation methods, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: http://www.mdpi.com/2076-3417/6/6/183; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/d6f18c3303cf4104858ecb67d2799388

المؤلفون: Qibing Zhu, Chujie He, Huang Min, Jianwei Qin

المصدر: Applied Sciences, Vol 6, Iss 6, p 183 (2016)
Applied Sciences; Volume 6; Issue 6; Pages: 183

مصطلحات موضوعية: Computer science, hyperspectral imaging, Multispectral image, Feature transformation, LS–SVM, 02 engineering and technology, maize seed, classification, SPA, feature transformation methods, 01 natural sciences, lcsh:Technology, lcsh:Chemistry, Dimension (vector space), General Materials Science, Computer vision, Multidimensional scaling, Instrumentation, lcsh:QH301-705.5, Fluid Flow and Transfer Processes, business.industry, lcsh:T, Process Chemistry and Technology, 010401 analytical chemistry, General Engineering, Hyperspectral imaging, Pattern recognition, 021001 nanoscience & nanotechnology, lcsh:QC1-999, 0104 chemical sciences, Computer Science Applications, ComputingMethodologies_PATTERNRECOGNITION, lcsh:Biology (General), lcsh:QD1-999, lcsh:TA1-2040, Principal component analysis, Artificial intelligence, Variety (universal algebra), 0210 nano-technology, business, lcsh:Engineering (General). Civil engineering (General), lcsh:Physics

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51191afe8abcb175392e809e45991965
http://www.mdpi.com/2076-3417/6/6/183

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