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Algorithms to automatically quantify the geometric similari..:
Boyer, Doug M.
;
Lipman, Yaron
;
St. Clair, Elizabeth
...
Proceedings of the National Academy of Sciences of the United States of America. 108 (2011) 45 - p. 18221-18226 , 2011
Link:
https://www.jstor.org/stable/41352695
RT Journal T1
Algorithms to automatically quantify the geometric similarity of anatomical surfaces
UL https://suche.suub.uni-bremen.de/peid=jstor-41352695&Exemplar=1&LAN=DE A1 Boyer, Doug M. A1 Lipman, Yaron A1 St. Clair, Elizabeth A1 Puente, Jesus A1 Patel, Biren A. A1 Funkhouser, Thomas A1 Jernvall, Jukka A1 Daubechies, Ingrid PB National Academy of Sciences YR 2011 SN 0027-8424 K1 Applied sciences K1 Engineering K1 Transportation K1 Transportation engineering K1 Navigation K1 Navigational aids K1 Landmarks K1 Information science K1 Data products K1 Datasets K1 Mathematics K1 Pure mathematics K1 Geometry K1 Surface geometry K1 Mathematical surfaces K1 Biological sciences K1 Biology K1 Anatomy K1 Behavioral sciences K1 Human behavior K1 Social behavior K1 Group behavior K1 Conformity K1 Physical sciences K1 Earth sciences K1 Geography K1 Geodesy K1 Cartography K1 Maps K1 Evolutionary studies K1 Evolutionary biology K1 Evolution K1 Zoology K1 Animals K1 Mammals K1 Primates K1 Descriptive geometry K1 Similarity theorem K1 Physics K1 Mechanics K1 Mass K1 Average linear density JF Proceedings of the National Academy of Sciences of the United States of America VO 108 IS 45 SP 18221 OP 18226 LK http://dx.doi.org/https://www.jstor.org/stable/41352695 DO https://www.jstor.org/stable/41352695 SF ELIB - SuUB Bremen
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