Fly Wing Biometrics Using Modified Local Binary Pattern, SVMs and Random Forest-Reference-Cited by-同舟云学术

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Fly Wing Biometrics Using Modified Local Binary Pattern, SVMs and Random Forest

Published:2014-06 Issue:3 Volume:4 Page:279-285
ISSN:2010-3700
Container-title:International Journal of Machine Learning and Computing
language:
Short-container-title:IJMLC

Author:

Ahmad Foysal,Roy Kaushik,O'Connor Brian,Shelton Joseph,Dozier Gerry,Dworkin Ian

Publisher

EJournal Publishing

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Gender identification of Drosophila melanogaster based on morphological analysis of microscopic images;The Visual Computer;2022-03-19

2. Gender Identification and Classification of Drosophila melanogaster Flies Using Machine Learning Techniques;Computational and Mathematical Methods in Medicine;2022-01-13

3. Product image classification using Eigen Colour feature with ensemble machine learning;Egyptian Informatics Journal;2018-07

4. Fractal Dimension-Based Drosophila Melanogaster Wing Genotype Classification;2017 Brazilian Conference on Intelligent Systems (BRACIS);2017-10

5. Drosophila Melanogaster Gender Classification Based on Fractal Dimension;2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI);2017-10

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