Related references
Note: Only part of the references are listed.Coupled Bilinear Discriminant Projection for Cross-View Gait Recognition
Xianye Ben et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2020)
Structured optimal graph based sparse feature extraction for semi-supervised learning
Zhonghua Liu et al.
SIGNAL PROCESSING (2020)
Joint sparse representation and locality preserving projection for feature extraction
Wei Zhang et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2019)
Robust discriminant analysis with adaptive locality preserving
Weijun Sun et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2019)
Regularized partial least squares for multi-label learning
Huawen Liu et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2018)
Robust Discriminant Regression for Feature Extraction
Zhihui Lai et al.
IEEE TRANSACTIONS ON CYBERNETICS (2018)
L1-Norm Distance Linear Discriminant Analysis Based on an Effective Iterative Algorithm
Qiaolin Ye et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2018)
Dimensionality reduction by LPP-L21
Shujian Wang et al.
IET COMPUTER VISION (2018)
Matrix exponential based discriminant locality preserving projections for feature extraction
Gui-Fu Lu et al.
NEURAL NETWORKS (2018)
Approximate Low-Rank Projection Learning for Feature Extraction
Xiaozhao Fang et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
Discovering the Relationship Between Generalization and Uncertainty by Incorporating Complexity of Classification
Xi-Zhao Wang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2018)
Low-rank representation with adaptive graph regularization
Jie Wen et al.
NEURAL NETWORKS (2018)
Incorporating Diversity and Informativeness in Multiple-Instance Active Learning
Ran Wang et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2017)
Low-Rank Embedding for Robust Image Feature Extraction
Wai Keung Wong et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2017)
Nonnegative low-rank representation based manifold embedding for semi-supervised learning
Zhonghua Liu et al.
KNOWLEDGE-BASED SYSTEMS (2017)
Joint sparse principal component analysis
Shuangyan Yi et al.
PATTERN RECOGNITION (2017)
Constrained Low-Rank Learning Using Least Squares-Based Regularization
Ping Li et al.
IEEE TRANSACTIONS ON CYBERNETICS (2017)
Rotational Invariant Dimensionality Reduction Algorithms
Zhihui Lai et al.
IEEE TRANSACTIONS ON CYBERNETICS (2017)
Compressed-Sensed-Domain L1-PCA Video Surveillance
Ying Liu et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2016)
Laplacian Regularized Low-Rank Representation and Its Applications
Ming Yin et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2016)
Learning Robust and Discriminative Subspace With Low-Rank Constraints
Sheng Li et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2016)
Integrated Low-Rank-Based Discriminative Feature Learning for Recognition
Pan Zhou et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2016)
A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning
Xi-Zhao Wang et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2015)
Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive Features
Liansheng Zhuang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2015)
Robust Subspace Segmentation Via Low-Rank Representation
Jinhui Chen et al.
IEEE TRANSACTIONS ON CYBERNETICS (2014)
Multimedia Event Detection Using A Classifier-Specific Intermediate Representation
Zhigang Ma et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2013)
Robust Recovery of Subspace Structures by Low-Rank Representation
Guangcan Liu et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
Discriminating Joint Feature Analysis for Multimedia Data Understanding
Zhigang Ma et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2012)
A Least-Squares Framework for Component Analysis
Fernando De la Torre
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2012)
Discriminant sparse neighborhood preserving embedding for face recognition
Jie Gui et al.
PATTERN RECOGNITION (2012)
Robust Principal Component Analysis?
Emmanuel J. Candes et al.
JOURNAL OF THE ACM (2011)
Feature Fusion Using Locally Linear Embedding for Classification
Bing-Yu Sun et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2010)
A SINGULAR VALUE THRESHOLDING ALGORITHM FOR MATRIX COMPLETION
Jian-Feng Cai et al.
SIAM JOURNAL ON OPTIMIZATION (2010)
A Shared-Subspace Learning Framework for Multi-Label Classification
Shuiwang Ji et al.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (2010)
From few to many: Illumination cone models for face recognition under variable lighting and pose
AS Georghiades et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2001)
Nonlinear dimensionality reduction by locally linear embedding
ST Roweis et al.
SCIENCE (2000)
The FERET evaluation methodology for face-recognition algorithms
PJ Phillips et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2000)
Share Paper
