Label propagation with structured graph learning for semi-supervised dimension reduction

[1]  Yan Meng,et al.  Semi-supervised manifold regularization with adaptive graph construction , 2017, Pattern Recognit. Lett..

[2]  Xuelong Li,et al.  Unsupervised Feature Selection With Constrained ℓ₂,₀-Norm and Optimized Graph , 2020, IEEE Transactions on Neural Networks and Learning Systems.

[3]  Cheng Deng,et al.  Graph based semi-supervised classification with probabilistic nearest neighbors , 2020, Pattern Recognit. Lett..

[4]  Junyan Tan,et al.  Semi-supervised dimensionality reduction via sparse locality preserving projection , 2020, Applied Intelligence.

[5]  Jingjing Li,et al.  Multi-view feature selection via Nonnegative Structured Graph Learning , 2020, Neurocomputing.

[6]  Zhihui Li,et al.  Unsupervised multi-view feature extraction with dynamic graph learning , 2018, J. Vis. Commun. Image Represent..

[7]  Xuelong Li,et al.  Robust Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation , 2016, IEEE Transactions on Cybernetics.

[8]  Jonathan J. Hull,et al.  A Database for Handwritten Text Recognition Research , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Michael J. Lyons,et al.  Automatic Classification of Single Facial Images , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Mikhail Belkin,et al.  Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples , 2006, J. Mach. Learn. Res..

[11]  Feiping Nie,et al.  Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[12]  Feiping Nie,et al.  Supervised Dimensionality Reduction Methods via Recursive Regression , 2020, IEEE Transactions on Neural Networks and Learning Systems.

[13]  Jingjing Li,et al.  Discrete Optimal Graph Clustering , 2019, IEEE Transactions on Cybernetics.

[14]  Michael William Newman,et al.  The Laplacian spectrum of graphs , 2001 .

[15]  Zhihui Lai,et al.  Structured optimal graph based sparse feature extraction for semi-supervised learning , 2020, Signal Process..

[16]  I. Jolliffe Principal Components in Regression Analysis , 1986 .

[17]  Nicu Sebe,et al.  Flexible Manifold Learning With Optimal Graph for Image and Video Representation , 2018, IEEE Transactions on Image Processing.

[18]  Ivor W. Tsang,et al.  Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction , 2010, IEEE Transactions on Image Processing.

[19]  Zhihui Li,et al.  Joint Principal Component and Discriminant Analysis for Dimensionality Reduction , 2020, IEEE Transactions on Neural Networks and Learning Systems.

[20]  Xuelong Li,et al.  Learning a Nonnegative Sparse Graph for Linear Regression , 2015, IEEE Transactions on Image Processing.

[21]  Michael I. Jordan,et al.  On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.

[22]  David Zhang,et al.  Local Linear Discriminant Analysis Framework Using Sample Neighbors , 2011, IEEE Transactions on Neural Networks.

[23]  Stephen Lin,et al.  Graph Embedding and Extensions: A General Framework for Dimensionality Reduction , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.