A Survey on Concept Factorization: From Shallow to Deep Representation Learning
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Title
A Survey on Concept Factorization: From Shallow to Deep Representation Learning
Authors
Keywords
Survey, Concept factorization, Representation learning, Traditional single-layer CF, Deep/multilayer CF
Journal
INFORMATION PROCESSING & MANAGEMENT
Volume 58, Issue 3, Pages 102534
Publisher
Elsevier BV
Online
2021-02-17
DOI
10.1016/j.ipm.2021.102534
References
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- (2020) Xinjian Gao et al. PATTERN RECOGNITION
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- (2019) Qiaolin Ye et al. IEEE Transactions on Neural Networks and Learning Systems
- Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition
- (2019) Zhengming Li et al. IEEE Transactions on Neural Networks and Learning Systems
- Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation
- (2019) Zhao Zhang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications
- (2019) Benjamin D. Haeffele et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Collocating Clothes With Generative Adversarial Networks Cosupervised by Categories and Attributes: A Multidiscriminator Framework
- (2019) Linlin Liu et al. IEEE Transactions on Neural Networks and Learning Systems
- Flexible Auto-Weighted Local-Coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering
- (2019) Zhao Zhang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Online Low-Rank Representation Learning for Joint Multi-Subspace Recovery and Clustering
- (2018) Bo Li et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Learning Common and Feature-Specific Patterns: A Novel Multiple-Sparse-Representation-Based Tracker
- (2018) Xiangyuan Lan et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Robust Online Matrix Factorization for Dynamic Background Subtraction
- (2018) Hongwei Yong et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Binary Multi-View Clustering
- (2018) Zheng Zhang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Adaptive Structure Concept Factorization for Multiview Clustering
- (2018) Kun Zhan et al. NEURAL COMPUTATION
- Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis
- (2018) Qiaolin Ye et al. NEURAL NETWORKS
- Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction
- (2018) Yan Zhang et al. PATTERN RECOGNITION
- Concept Factorization With Adaptive Neighbors for Document Clustering
- (2018) Xiaobing Pei et al. IEEE Transactions on Neural Networks and Learning Systems
- A Survey of Multi-View Representation Learning
- (2018) Yingming Li et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Correntropy based graph regularized concept factorization for clustering
- (2018) Siyuan Peng et al. NEUROCOMPUTING
- Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation
- (2018) Yan Zhang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Deep Inductive Graph Representation Learning
- (2018) Ryan A. Rossi et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Robust Neighborhood Preserving Projection by Nuclear/L2,1-Norm Regularization for Image Feature Extraction
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- Weakly Supervised Deep Matrix Factorization for Social Image Understanding
- (2017) Zechao Li et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Unsupervised Single and Multiple Views Feature Extraction with Structured Graph
- (2017) Wenzhang Zhuge et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- A Deep Matrix Factorization Method for Learning Attribute Representations
- (2017) George Trigeorgis et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Local and global regularized concept factorization for image clustering
- (2017) Bin Qian et al. JOURNAL OF ELECTRONIC IMAGING
- Graph-regularized CF with local coordinate for image representation
- (2017) Huirong Li et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- A novel regularized concept factorization for document clustering
- (2017) Wei Yan et al. KNOWLEDGE-BASED SYSTEMS
- Graph-based discriminative concept factorization for data representation
- (2017) Huirong Li et al. KNOWLEDGE-BASED SYSTEMS
- Graph-Regularized Local Coordinate Concept Factorization for Image Representation
- (2017) Jun Ye et al. NEURAL PROCESSING LETTERS
- Graph regularized multilayer concept factorization for data representation
- (2017) Xue Li et al. NEUROCOMPUTING
- Hyper-graph regularized discriminative concept factorization for data representation
- (2017) Jun Ye et al. SOFT COMPUTING
- Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification
- (2017) Zhao Zhang et al. IEEE Transactions on Neural Networks and Learning Systems
- Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier
- (2017) Zhao Zhang et al. IEEE Transactions on Neural Networks and Learning Systems
- A Survey of Dictionary Learning Algorithms for Face Recognition
- (2017) Yong Xu et al. IEEE Access
- Semisupervised Discriminant Feature Learning for SAR Image Category via Sparse Ensemble
- (2016) Zhiqiang Zhao et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification
- (2016) Zhao Zhang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Laplacian Regularized Low-Rank Representation and Its Applications
- (2016) Ming Yin et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation
- (2016) Zhao Zhang et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Semi-supervised concept factorization for document clustering
- (2016) Mei Lu et al. INFORMATION SCIENCES
- Constrained neighborhood preserving concept factorization for data representation
- (2016) Mei Lu et al. KNOWLEDGE-BASED SYSTEMS
- Feature Selection for Adaptive Dual-Graph Regularized Concept Factorization for Data Representation
- (2016) Jun Ye et al. NEURAL PROCESSING LETTERS
- Class-driven concept factorization for image representation
- (2016) Huirong Li et al. NEUROCOMPUTING
- Learning Flexible Graph-Based Semi-Supervised Embedding
- (2016) Fadi Dornaika et al. IEEE Transactions on Cybernetics
- Spectral Unmixing of Hyperspectral Imagery Using Multilayer NMF
- (2015) Roozbeh Rajabi et al. IEEE Geoscience and Remote Sensing Letters
- PCANet: A Simple Deep Learning Baseline for Image Classification?
- (2015) Tsung-Han Chan et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
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- A Survey of Sparse Representation: Algorithms and Applications
- (2015) Zheng Zhang et al. IEEE Access
- Soft label based Linear Discriminant Analysis for image recognition and retrieval
- (2014) Mingbo Zhao et al. COMPUTER VISION AND IMAGE UNDERSTANDING
- Pairwise constrained concept factorization for data representation
- (2014) Yangcheng He et al. NEURAL NETWORKS
- A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction
- (2014) Mingbo Zhao et al. NEURAL NETWORKS
- Similarity preserving low-rank representation for enhanced data representation and effective subspace learning
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- Dual-graph regularized concept factorization for clustering
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- (2013) Mingbo Zhao et al. EXPERT SYSTEMS WITH APPLICATIONS
- Pairwise Sparsity Preserving Embedding for Unsupervised Subspace Learning and Classification
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- Label Consistent K-SVD: Learning a Discriminative Dictionary for Recognition
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- Representation Learning: A Review and New Perspectives
- (2013) Y. Bengio et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Graph-based local concept coordinate factorization
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- Local Coordinate Concept Factorization for Image Representation
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- Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection
- (2013) Chenping Hou et al. IEEE Transactions on Cybernetics
- Constrained Concept Factorization for Image Representation
- (2013) Haifeng Liu et al. IEEE Transactions on Cybernetics
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- Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification
- (2012) Zhao Zhang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Nonnegative Matrix Factorization: A Comprehensive Review
- (2012) Yu-Xiong Wang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Robust Recovery of Subspace Structures by Low-Rank Representation
- (2012) Guangcan Liu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Clustering analysis using manifold kernel concept factorization
- (2012) Ping Li et al. NEUROCOMPUTING
- M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction
- (2012) Zhao Zhang et al. IEEE Transactions on Cybernetics
- Constrained Nonnegative Matrix Factorization for Image Representation
- (2011) Haifeng Liu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Discriminative concept factorization for data representation
- (2011) Wei Hua et al. NEUROCOMPUTING
- Graph dual regularization non-negative matrix factorization for co-clustering
- (2011) Fanhua Shang et al. PATTERN RECOGNITION
- Locally Consistent Concept Factorization for Document Clustering
- (2010) Deng Cai et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Linear and Nonlinear Projective Nonnegative Matrix Factorization
- (2010) Zhirong Yang et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Graph Regularized Nonnegative Matrix Factorization for Data Representation
- (2010) Deng Cai et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding
- (2010) Guy Rosman et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Label Propagation through Linear Neighborhoods
- (2007) Fei Wang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Graph-Based Semisupervised Learning
- (2007) M. Culp et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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