Cargando…
Block-Wise Two-Dimensional Maximum Margin Criterion for Face Recognition
Maximum margin criterion (MMC) is a well-known method for feature extraction and dimensionality reduction. However, MMC is based on vector data and fails to exploit local characteristics of image data. In this paper, we propose a two-dimensional generalized framework based on a block-wise approach f...
Autores principales: | Liu, Xiao-Zhang, Yang, Guan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3920850/ https://www.ncbi.nlm.nih.gov/pubmed/24634613 http://dx.doi.org/10.1155/2014/875090 |
Ejemplares similares
-
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
por: Niijima, Satoshi, et al.
Publicado: (2006) -
Robust Deep Network with Maximum Correntropy Criterion for Seizure Detection
por: Qi, Yu, et al.
Publicado: (2014) -
Semisupervised Kernel Marginal Fisher Analysis for Face Recognition
por: Wang, Ziqiang, et al.
Publicado: (2013) -
Newtonian-Type Adaptive Filtering Based on the Maximum Correntropy Criterion
por: Yue, Pengcheng, et al.
Publicado: (2020) -
Online Gradient Descent for Kernel-Based Maximum Correntropy Criterion
por: Wang, Baobin, et al.
Publicado: (2019)