Related references
Note: Only part of the references are listed.Autoencoder Constrained Clustering With Adaptive Neighbors
Xuelong Li et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)
Self-weighted Robust LDA for Multiclass Classification with Edge Classes
Caixia Yan et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2021)
Dimensionality Reduction of Hyperspectral Image Based on Local Constrained Manifold Structure Collaborative Preserving Embedding
Guangyao Shi et al.
REMOTE SENSING (2021)
Limited-energy output formation for multiagent systems with intermittent interactions
Xiaojun Yang et al.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS (2021)
Collaborative representation-based discriminant neighborhood projections for face recognition
Guoqiang Wang et al.
NEURAL COMPUTING & APPLICATIONS (2020)
Joint Principal Component and Discriminant Analysis for Dimensionality Reduction
Xiaowei Zhao et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2020)
Discriminative low-rank projection for robust subspace learning
Zhihui Lai et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2020)
Dimensionality Reduction With Enhanced Hybrid-Graph Discriminant Learning for Hyperspectral Image Classification
Fulin Luo et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)
Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph
Feiping Nie et al.
IEEE TRANSACTIONS ON CYBERNETICS (2020)
Feature Learning Using Spatial-Spectral Hypergraph Discriminant Analysis for Hyperspectral Image
Fulin Luo et al.
IEEE TRANSACTIONS ON CYBERNETICS (2019)
Dimensionality reduction by collaborative preserving Fisher discriminant analysis
Ming-Dong Yuan et al.
NEUROCOMPUTING (2019)
Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction
Yanwei Pang et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)
Optimized regularized linear discriminant analysis for feature extraction in face recognition
Xiaoheng Tan et al.
EVOLUTIONARY INTELLIGENCE (2019)
Collaborative representation based local discriminant projection for feature extraction
Pu Huang et al.
DIGITAL SIGNAL PROCESSING (2018)
Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features
Zhihui Li et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
Rank-Constrained Spectral Clustering With Flexible Embedding
Zhihui Li et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
Low-Rank Preserving Projections
Yuwu Lu et al.
IEEE TRANSACTIONS ON CYBERNETICS (2016)
Discriminative sparsity preserving projections for image recognition
Quanxue Gao et al.
PATTERN RECOGNITION (2015)
Low-rank representation based discriminative projection for robust feature extraction
Nan Zhang et al.
NEUROCOMPUTING (2013)
Fuzzy Linear Discriminant Analysis-guided maximum entropy fuzzy clustering algorithm
Xiao-bin Zhi et al.
PATTERN RECOGNITION (2013)
Discriminant sparse neighborhood preserving embedding for face recognition
Jie Gui et al.
PATTERN RECOGNITION (2012)
Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction
Feiping Nie et al.
PATTERN RECOGNITION LETTERS (2012)
Robust Principal Component Analysis?
Emmanuel J. Candes et al.
JOURNAL OF THE ACM (2011)
LIBSVM: A Library for Support Vector Machines
Chih-Chung Chang et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2011)
Sparsity preserving projections with applications to face recognition
Lishan Qiao et al.
PATTERN RECOGNITION (2010)
KPCA plus LDA: A complete kernel fisher discriminant framework for feature extraction and recognition
J Yang et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)
Regularization studies of linear discriminant analysis in small sample size scenarios with application to face recognition
JW Lu et al.
PATTERN RECOGNITION LETTERS (2005)
Generalizing discriminant analysis using the generalized singular value decomposition
P Howland et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2004)
A new LDA-based face recognition system which can solve the small sample size problem
LF Chen et al.
PATTERN RECOGNITION (2000)
Share Paper
