Related references
Note: Only part of the references are listed.Self-weighted Robust LDA for Multiclass Classification with Edge Classes
Caixia Yan et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2021)
Generalized two-dimensional linear discriminant analysis with regularization
Chun-Na Li et al.
NEURAL NETWORKS (2021)
Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis
Lei Du et al.
MEDICAL IMAGE ANALYSIS (2021)
Variational graph autoencoders for multiview canonical correlation analysis
Yacouba Kaloga et al.
SIGNAL PROCESSING (2021)
An ensemble machine learning approach through effective feature extraction to classify fake news
Saqib Hakak et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2021)
A Survey on Canonical Correlation Analysis
Xinghao Yang et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2021)
An Orthogonal Locality and Globality Dimensionality Reduction Method Based on Twin Eigen Decomposition
Shuzhi Su et al.
IEEE ACCESS (2021)
Major depressive disorder identification by referenced multiset canonical correlation analysis with clinical scores
Wuhong Lin et al.
MEDICAL IMAGE ANALYSIS (2020)
Local manifold sparse model for image classification
Fulin Luo et al.
NEUROCOMPUTING (2020)
A technical review of canonical correlation analysis for neuroscience applications
Xiaowei Zhuang et al.
HUMAN BRAIN MAPPING (2020)
Multidisciplinary Pattern Recognition applications: A review
Marina Paolanti et al.
COMPUTER SCIENCE REVIEW (2020)
The Labeled Multiple Canonical Correlation Analysis for Information Fusion
Lei Gao et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2019)
Flexible unsupervised feature extraction for image classification
Yang Liu et al.
NEURAL NETWORKS (2019)
A robust geometric mean-based subspace discriminant analysis feature extraction approach for image set classification
Jianqiang Gao et al.
OPTIK (2019)
Singular value decomposition based virtual representation for face recognition
Guiying Zhang et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2018)
Discriminative Multiple Canonical Correlation Analysis for Information Fusion
Lei Gao et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)
A Mixture of Variational Canonical Correlation Analysis for Nonlinear and Quality-Relevant Process Monitoring
Yiqi Liu et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
Multiview dimension reduction via Hessian multiset canonical correlations
Weifeng Liu et al.
INFORMATION FUSION (2018)
Multi-view dimensionality reduction based on Universum learning
Xiaohong Chen et al.
NEUROCOMPUTING (2018)
Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition
Fiorenzo Artoni et al.
NEUROIMAGE (2018)
Multi-view manifold learning with locality alignment
Yue Zhao et al.
PATTERN RECOGNITION (2018)
Improved principal component analysis and linear regression classification for face recognition
Yani Zhu et al.
SIGNAL PROCESSING (2018)
Rank-Constrained Spectral Clustering With Flexible Embedding
Zhihui Li et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
Multi-View Discriminant Analysis
Meina Kan et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2016)
Compound Rank-k Projections for Bilinear Analysis
Xiaojun Chang et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2016)
A unified multiset canonical correlation analysis framework based on graph embedding for multiple feature extraction
XiaoBo Shen et al.
NEUROCOMPUTING (2015)
Discriminant analysis and similarity measure
Chengjun Liu
PATTERN RECOGNITION (2014)
Graph regularized multiset canonical correlations with applications to joint feature extraction
Yun-Hao Yuan et al.
PATTERN RECOGNITION (2014)
A New Locality-Preserving Canonical Correlation Analysis Algorithm for Multi-View Dimensionality Reduction
Fengshan Wang et al.
NEURAL PROCESSING LETTERS (2013)
A novel multiset integrated canonical correlation analysis framework and its application in feature fusion
Yun-Hao Yuan et al.
PATTERN RECOGNITION (2011)
Locality preserving CCA with applications to data visualization and pose estimation
Tingkai Sun et al.
IMAGE AND VISION COMPUTING (2007)
Graph embedding and extensions: A general framework for dimensionality reduction
Shuicheng Yan et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2007)
A new method of feature fusion and its application in image recognition
QS Sun et al.
PATTERN RECOGNITION (2005)
Canonical correlation analysis: An overview with application to learning methods
DR Hardoon et al.
NEURAL COMPUTATION (2004)