Joint self-representation and subspace learning for unsupervised feature selection
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Joint self-representation and subspace learning for unsupervised feature selection
Authors
Keywords
Unsupervised feature selection, Self-representation, Subspace learning
Journal
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2017-11-06
DOI
10.1007/s11280-017-0508-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Efficient kNN Classification With Different Numbers of Nearest Neighbors
- (2018) Shichao Zhang et al. IEEE Transactions on Neural Networks and Learning Systems
- Graph PCA Hashing for Similarity Search
- (2017) Xiaofeng Zhu et al. IEEE TRANSACTIONS ON MULTIMEDIA
- A novel relational regularization feature selection method for joint regression and classification in AD diagnosis
- (2017) Xiaofeng Zhu et al. MEDICAL IMAGE ANALYSIS
- Graph self-representation method for unsupervised feature selection
- (2017) Rongyao Hu et al. NEUROCOMPUTING
- Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection
- (2017) Xiaofeng Zhu et al. IEEE Transactions on Neural Networks and Learning Systems
- Group-Based Alternating Direction Method of Multipliers for Distributed Linear Classification
- (2017) Huihui Wang et al. IEEE Transactions on Cybernetics
- Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification
- (2016) Xiaofeng Zhu et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Regularization feature selection projection twin support vector machine via exterior penalty
- (2016) Ping Yi et al. NEURAL COMPUTING & APPLICATIONS
- Self-representation nearest neighbor search for classification
- (2016) Shichao Zhang et al. NEUROCOMPUTING
- Block-Row Sparse Multiview Multilabel Learning for Image Classification
- (2016) Xiaofeng Zhu et al. IEEE Transactions on Cybernetics
- Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization
- (2015) Canyi Lu et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Evolving RBF neural networks for rainfall prediction using hybrid particle swarm optimization and genetic algorithm
- (2015) Jiansheng Wu et al. NEUROCOMPUTING
- Unsupervised feature selection by regularized self-representation
- (2015) Pengfei Zhu et al. PATTERN RECOGNITION
- An unsupervised feature selection algorithm based on ant colony optimization
- (2014) Sina Tabakhi et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Maximum Margin Projection Subspace Learning for Visual Data Analysis
- (2014) Symeon Nikitidis et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- A Sparse Embedding and Least Variance Encoding Approach to Hashing
- (2014) Xiaofeng Zhu et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Cost-sensitive classification with inadequate labeled data
- (2011) Tao Wang et al. INFORMATION SYSTEMS
- A GRASP algorithm for fast hybrid (filter-wrapper) feature subset selection in high-dimensional datasets
- (2011) Pablo Bermejo et al. PATTERN RECOGNITION LETTERS
- Shell-neighbor method and its application in missing data imputation
- (2010) Shichao Zhang APPLIED INTELLIGENCE
- Missing Value Estimation for Mixed-Attribute Data Sets
- (2010) Xiaofeng Zhu et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Missing data imputation by utilizing information within incomplete instances
- (2010) Shichao Zhang et al. JOURNAL OF SYSTEMS AND SOFTWARE
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now