An Extended Max-margin Non-negative Matrix Factorization for Face Recognition
Non-negative matrix factorization (NMF) is a dimension-reduction technique based on a low-rank approximation of the feature space. Unfortunately, most existing NMF based methods are not ready for encoding higher-order data information and ignore the local geometric structure contained in the data s...
Enregistré dans:
| Auteur principal: | Mai, Lam |
|---|---|
| Format: | Article |
| Langue: | English |
| Publié: |
2018
|
| Sujets: | |
| Accès en ligne: | http://thuvien.cit.udn.vn//handle/123456789/205 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| Thư viện lưu trữ: | Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng |
|---|
Documents similaires
-
Joint Spatial Geometric and Max-margin Classifier Constraints for Facial Expression Recognition Using Nonnegative Matrix Factorization
par: Mai, Lam, et autres
Publié: (2021) -
Building System Face Recognition Supports Attendance
par: Nguyen, Viet Nam, et autres
Publié: (2023) -
Research and building system face recognition supports attendance
par: Tran, Van Hop, et autres
Publié: (2024) -
Face recognition attendance system
par: Tran, Van Quy
Publié: (2022) -
Face recognition : from theory to applications /
Publié: (1998)