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...
Đã lưu trong:
| Príomhúdar: | Mai, Lam |
|---|---|
| Formáid: | Bài viết |
| Teanga: | English |
| Foilsithe: |
2018
|
| Ábhair: | |
| Rochtain Ar Líne: | http://thuvien.cit.udn.vn//handle/123456789/205 |
| Clibeanna: |
Cuir Clib Leis
Gan Chlibeanna, Bí ar an gcéad duine leis an taifead seo a chlibeáil!
|
| Thư viện lưu trữ: | Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng |
|---|
Míreanna Comhchosúla
-
Joint Spatial Geometric and Max-margin Classifier Constraints for Facial Expression Recognition Using Nonnegative Matrix Factorization
le: Mai, Lam, et al.
Foilsithe: (2021) -
Building System Face Recognition Supports Attendance
le: Nguyen, Viet Nam, et al.
Foilsithe: (2023) -
Research and building system face recognition supports attendance
le: Tran, Van Hop, et al.
Foilsithe: (2024) -
Face recognition attendance system
le: Tran, Van Quy
Foilsithe: (2022) -
Face recognition : from theory to applications /
Foilsithe: (1998)