Metric Learning for Shape Classification: A Fast and Efficient Approach with Monte Carlo Methods
Quantifying shape variation within a group of individuals, identifying morphological contrasts between populations and categorizing these groups according to morphological similarities and dissimilarities are central problems in developmental evolutionary biology and genetics. In this dissertation,...
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| Format: | Others |
| Language: | English English |
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Florida State University
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| Online Access: | http://purl.flvc.org/fsu/fd/2018_Sp_Cellat_fsu_0071E_14295 |