Feature extraction using sparse component decomposition for face classification
In the recent years, the feature extraction as an intermediate step in the classification, has attracted the attention of researchers. In this paper, a new supervised feature extraction method is proposed using sparse component decomposition. The proposed algorithm has two steps.In the first step, t...
Saved in:
Main Author: | Hamid Reza Shahdoosti |
---|---|
Format: | Article |
Language: | fas |
Published: |
University of Qom
2023-09-01
|
Series: | مدیریت مهندسی و رایانش نرم |
Subjects: | |
Online Access: | https://jemsc.qom.ac.ir/article_2345_96ab4eaf4bd34a5b409dadf13e8ffaac.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Incorporation of Histogram Intersection and Semantic Information into Non-Negative Local Laplacian Sparse Coding for Image Classification
by: Ying Shi, et al.
Published: (2025-01-01) -
Facial expression recognition using singular values and wavelet‐based LGC‐HD operator
by: Durga G. Rao Kola, et al.
Published: (2021-03-01) -
Internet traffic classification using SVM with flexible feature space
by: Yaguan QIAN, et al.
Published: (2016-05-01) -
Illumination and expression robust face recognition using collaboration of double-dictionary's sparse representation-based classification
by: Fei GONG, et al.
Published: (2017-03-01) -
Face recognition using decision fusion of multiple sparse representation-based classifiers
by: Biao TANG, et al.
Published: (2018-04-01)