Cargando…
Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition
Face recognition in today's technological world, and face recognition applications attain much more importance. Most of the existing work used frontal face images to classify face image. However these techniques fail when applied on real world face images. The proposed technique effectively ext...
Autores principales: | Ali Khan, Sajid, Hussain, Ayyaz, Basit, Abdul, Akram, Sheeraz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4054616/ https://www.ncbi.nlm.nih.gov/pubmed/24967437 http://dx.doi.org/10.1155/2014/672630 |
Ejemplares similares
-
Analysis of COVID-19 data using neutrosophic Kruskal Wallis H test
por: Sherwani, Rehan Ahmad Khan, et al.
Publicado: (2021) -
Empirical investigations into Kruskal-Wallis power studies utilizing Bernstein fits, simulations and medical study datasets
por: Clark, Jeremy S. C., et al.
Publicado: (2023) -
pKWmEB: integration of Kruskal–Wallis test with empirical Bayes under polygenic background control for multi-locus genome-wide association study
por: Ren, Wen-Long, et al.
Publicado: (2017) -
Goodman and Kruskal’s Gamma Coefficient for Ordinalized Bivariate Normal Distributions
por: Barbiero, Alessandro, et al.
Publicado: (2020) -
Padé approximant related to the Wallis formula
por: Lin, Long, et al.
Publicado: (2017)