Cargando…
SELM: Siamese extreme learning machine with application to face biometrics
Extreme learning machine (ELM) is a powerful classification method and is very competitive among existing classification methods. It is speedy at training. Nevertheless, it cannot perform face verification tasks properly because face verification tasks require the comparison of facial images of two...
Autores principales: | Kudisthalert, Wasu, Pasupa, Kitsuchart, Morales, Aythami, Fierrez, Julian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921711/ https://www.ncbi.nlm.nih.gov/pubmed/35310555 http://dx.doi.org/10.1007/s00521-022-07100-z |
Ejemplares similares
-
Virtual screening by a new Clustering-based Weighted Similarity Extreme Learning Machine approach
por: Pasupa, Kitsuchart, et al.
Publicado: (2018) -
Benchmarking desktop and mobile handwriting across COTS devices: The e-BioSign biometric database
por: Tolosana, Ruben, et al.
Publicado: (2017) -
On the Feasibility of Interoperable Schemes in Hand Biometrics
por: Morales, Aythami, et al.
Publicado: (2012) -
A novel online multi-task learning for COVID-19 multi-output spatio-temporal prediction
por: Wu, Zipeng, et al.
Publicado: (2023) -
Discovery of significant porcine SNPs for swine breed identification by a hybrid of information gain, genetic algorithm, and frequency feature selection technique
por: Pasupa, Kitsuchart, et al.
Publicado: (2020)