Publications

@article{alegre_comparison_2009,

title = {Comparison of supervised and unsupervised methods to classify boar acrosomes using texture descriptors},

author = {Enrique Alegre and Víctor González-Castro and Manuel Castejón-Limas},

url = {https://ieeexplore.ieee.org/abstract/document/5342859},

year  = {2009},

date = {2009-01-01},

urldate = {2009-01-01},

journal = {2009 International Symposium ELMAR},

pages = {65–70},

abstract = {This work compares supervised and unsupervised methods for classifying boar sperm head images based on membrane integrity. Five texture descriptors were tested, and classification was performed using LDA, QDA, k-NN, and Neural Networks. Results indicate that unsupervised methods outperform supervised ones, achieving a lower error rate of 6.11% compared to 9%.},

note = {Publisher: IEEE},

keywords = {Image classification, Sperm Analysis, Supervised vs. Unsupervised Learning, texture descriptors},

pubstate = {published},

tppubtype = {article}

}