Fisher discrimination-based $$l_{2,1} $$ l 2 , 1 -norm sparse representation for face recognition
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Fisher discrimination-based $$l_{2,1} $$ l 2 , 1 -norm sparse representation for face recognition
Authors
Keywords
Sparse representation, <span class=InlineEquation id=IEq10>(l_{2 , 1}), Face recognition, Fisher discriminant
Journal
VISUAL COMPUTER
Volume 32, Issue 9, Pages 1165-1178
Publisher
Springer Nature
Online
2016-01-09
DOI
10.1007/s00371-015-1169-9
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A comprehensive survey of human action recognition with spatio-temporal interest point (STIP) detector
- (2015) Debapratim Das Dawn et al. VISUAL COMPUTER
- Fisher discrimination based low rank matrix recovery for face recognition
- (2014) Zhonglong Zheng et al. PATTERN RECOGNITION
- Robust object tracking with active context learning
- (2014) Wei Quan et al. VISUAL COMPUTER
- Robust Face Recognition via Adaptive Sparse Representation
- (2014) Jing Wang et al. IEEE Transactions on Cybernetics
- Stable Orthogonal Local Discriminant Embedding for Linear Dimensionality Reduction
- (2013) Quanxue Gao et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Low-rank representation based discriminative projection for robust feature extraction
- (2013) Nan Zhang et al. NEUROCOMPUTING
- Robust face recognition via occlusion dictionary learning
- (2013) Weihua Ou et al. PATTERN RECOGNITION
- Sparse Representation Classifier Steered Discriminative Projection With Applications to Face Recognition
- (2013) Jian Yang et al. IEEE Transactions on Neural Networks and Learning Systems
- 3D Face Discriminant Analysis Using Gauss-Markov Posterior Marginals
- (2012) O. Ocegueda et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Robust Recovery of Subspace Structures by Low-Rank Representation
- (2012) Guangcan Liu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Discriminative Multimanifold Analysis for Face Recognition from a Single Training Sample per Person
- (2012) Jiwen Lu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Face recognition via Weighted Sparse Representation
- (2012) Can-Yi Lu et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Enhanced fisher discriminant criterion for image recognition
- (2012) Quanxue Gao et al. PATTERN RECOGNITION
- Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation
- (2011) A. Wagner et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Robust principal component analysis?
- (2011) Emmanuel J. Candès et al. JOURNAL OF THE ACM
- Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions
- (2010) Xiaoyang Tan et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Sparse Representation for Computer Vision and Pattern Recognition
- (2010) John Wright et al. PROCEEDINGS OF THE IEEE
- A Singular Value Thresholding Algorithm for Matrix Completion
- (2010) Jian-Feng Cai et al. SIAM JOURNAL ON OPTIMIZATION
- Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor
- (2009) Baochang Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Face Recognition Under Occlusions and Variant Expressions With Partial Similarity
- (2009) Xiaoyang Tan et al. IEEE Transactions on Information Forensics and Security
- Nonparametric Discriminant Analysis for Face Recognition
- (2009) Zhifeng Li et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Robust Face Recognition via Sparse Representation
- (2009) J. Wright et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- A Fast Algorithm for Edge-Preserving Variational Multichannel Image Restoration
- (2009) Junfeng Yang et al. SIAM Journal on Imaging Sciences
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started