*Yuan, Y.H.[Yun-Hao]*,
*Sun, Q.S.[Quan-Sen]*,
*Zhou, Q.A.[Qi-Ang]*,
*Xia, D.S.[De-Shen]*,

**A novel multiset integrated canonical correlation analysis framework
and its application in feature fusion**,

*PR(44)*, No. 5, May 2011, pp. 1031-1040.

Elsevier DOI
**1101**

Pattern recognition; Canonical correlation analysis; Feature
extraction; Multiset canonical correlation analysis; Feature fusion
BibRef

*Ji, H.K.[Hong-Kun]*,
*Shen, X.B.[Xiao-Bo]*,
*Sun, Q.S.[Quan-Sen]*,
*Ji, Z.X.[Ze-Xuan]*,

**Sparse Discrimination Based Multiset Canonical Correlation Analysis for
Multi-Feature Fusion and Recognition**,

*BMVC15*(xx-yy).

DOI Link
**1601**

BibRef

*Yan, H.[Hui]*,
*Yuan, X.T.[Xiao-Tong]*,
*Yan, S.C.[Shui-Cheng]*,
*Yang, J.Y.[Jing-Yu]*,

**Correntropy based feature selection using binary projection**,

*PR(44)*, No. 12, December 2011, pp. 2834-2842.

Elsevier DOI
**1107**

Feature selection; Mutual information; Correntropy; Binary projection matrix
BibRef

*Yan, H.[Hui]*,
*Yang, J.[Jian]*,

**Sparse discriminative feature selection**,

*PR(48)*, No. 5, 2015, pp. 1827-1835.

Elsevier DOI
**1502**

Joint feature selection
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*Yan, H.[Hui]*,
*Yang, W.K.[Wan-Kou]*,
*Yang, J.[Jian]*,
*Yang, J.Y.[Jing-Yu]*,

**Discriminant feature extraction based on center distance**,

*ICIP09*(1249-1252).

IEEE DOI
**0911**

BibRef

*Yan, H.[Hui]*,
*Yang, J.[Jian]*,

**Joint Laplacian feature weights learning**,

*PR(47)*, No. 3, 2014, pp. 1425-1432.

Elsevier DOI
**1312**

Feature selection
BibRef

*Yan, H.[Hui]*,
*Jin, Z.[Zhong]*,
*Yang, J.[Jian]*,

**Sparse Representation Preserving for Unsupervised Feature Selection**,

*ICPR14*(1574-1578)

IEEE DOI
**1412**

Face
BibRef

*Zheng, W.M.[Wen-Ming]*,
*Lin, Z.C.[Zhou-Chen]*,

**A new discriminant subspace analysis approach for multi-class problems**,

*PR(45)*, No. 4, April 2012, pp. 1426-1435.

Elsevier DOI
**1112**

Fukunaga-Koontz Transform; Common principal component analysis;
Feature extraction
BibRef

*Yan, J.J.[Jing-Jie]*,
*Zheng, W.M.[Wen-Ming]*,
*Zhou, X.Y.[Xiao-Yan]*,
*Zhao, Z.J.[Zhi-Jian]*,

**Sparse 2-D Canonical Correlation Analysis via Low Rank Matrix
Approximation for Feature Extraction**,

*SPLetters(19)*, No. 1, January 2012, pp. 51-54.

IEEE DOI
**1112**

BibRef

*Shi, C.J.[Cai-Juan]*,
*Ruan, Q.Q.[Qiu-Qi]*,
*An, G.Y.[Gao-Yun]*,
*Zhao, R.Z.[Rui-Zhen]*,

**Hessian Semi-Supervised Sparse Feature Selection Based on L_2,1/2
-Matrix Norm**,

*MultMed(17)*, No. 1, January 2015, pp. 16-28.

IEEE DOI
**1502**

Hessian matrices
BibRef

*Shi, C.J.[Cai-Juan]*,
*Ruan, Q.Q.[Qiu-Qi]*,
*An, G.Y.[Gao-Yun]*,
*Ge, C.[Chao]*,

**Semi-supervised sparse feature selection based on multi-view
Laplacian regularization**,

*IVC(41)*, No. 1, 2015, pp. 1-10.

Elsevier DOI
**1508**

Multi-view learning
BibRef

*Shi, C.J.[Cai-Juan]*,
*An, G.Y.[Gao-Yun]*,
*Zhao, R.Z.[Rui-Zhen]*,
*Ruan, Q.Q.[Qiu-Qi]*,
*Tian, Q.[Q1]*,

**Multiview Hessian Semisupervised Sparse Feature Selection for
Multimedia Analysis**,

*CirSysVideo(27)*, No. 9, September 2017, pp. 1947-1961.

IEEE DOI
**1709**

Algorithm design and analysis, Geometry, Information science,
Kernel, Laplace equations, Manifolds, Semisupervised learning,
3D motion analysis, Hessian regularization, image annotation,
multiview learning, sparse feature selection, video, concept, detection
BibRef

*Zhang, L.F.[Le-Fei]*,
*Zhang, Q.[Qian]*,
*Zhang, L.P.[Liang-Pei]*,
*Tao, D.C.[Da-Cheng]*,
*Huang, X.[Xin]*,
*Du, B.[Bo]*,

**Ensemble manifold regularized sparse low-rank approximation for
multiview feature embedding**,

*PR(48)*, No. 10, 2015, pp. 3102-3112.

Elsevier DOI
**1507**

Multiview
BibRef

*Hou, C.*,
*Jiao, Y.*,
*Nie, F.*,
*Luo, T.*,
*Zhou, Z.H.*,

**2D Feature Selection by Sparse Matrix Regression**,

*IP(26)*, No. 9, September 2017, pp. 4255-4268.

IEEE DOI
**1708**

computer vision, convergence, feature selection,
image classification, optimisation, regression analysis,
sparse matrices, 2D feature selection, 2D matrix data, SMR,
computer vision, data points, effective optimization method,
image processing, matrix elements, provable convergence behavior,
regression coefficients, scene classification,
sparse constraints, sparse matrix regression,
vector-based approaches, Algorithm design and analysis,
Feature extraction, Matrix converters, Radio frequency, Robustness,
Sparse matrices, Training, Two dimensional data, feature selection,
scene classification, sparse matrix regression
BibRef

*Foroughi, H.[Homa]*,
*Ray, N.[Nilanjan]*,
*Zhang, H.[Hong]*,

**Object Classification With Joint Projection and Low-Rank Dictionary
Learning**,

*IP(27)*, No. 2, February 2018, pp. 806-821.

IEEE DOI
**1712**

Dictionaries, Lighting, Noise measurement, Training,
Joint projection and dictionary learning,
sparse representation
BibRef

*Foroughi, H.[Homa]*,
*Shakeri, M.[Moein]*,
*Ray, N.[Nilanjan]*,
*Zhang, H.[Hong]*,

**Face Recognition Using Multi-Modal Low-Rank Dictionary Learning**,

*ICIP17*(1082-1086)

IEEE DOI
**1803**

BibRef

Earlier:

**Joint Feature Selection with Low-rank Dictionary Learning**,

*BMVC15*(xx-yy).

DOI Link
**1601**

Dictionaries, Face, Face recognition, Feature extraction, Lighting,
Machine learning, Robustness, Face recognition,
Multi-modal dictionary learning
BibRef

*Huang, X.J.[Xiao-Juan]*,
*Zhang, L.[Li]*,
*Wang, B.J.[Bang-Jun]*,
*Zhang, Z.[Zhao]*,
*Li, F.Z.[Fan-Zhang]*,

**Feature weight estimation based on dynamic representation and
neighbor sparse reconstruction**,

*PR(81)*, 2018, pp. 388-403.

Elsevier DOI
**1806**

Feature weighting, Feature selection, Relief, Sparse learning,
Local hyperplane, regularization, Classification
BibRef

*Zhu, Y.H.[Yong-Hua]*,
*Zhang, X.J.[Xue-Jun]*,
*Hu, R.Y.[Rong-Yao]*,
*Wen, G.Q.[Guo-Qiu]*,

**Adaptive structure learning for low-rank supervised feature selection**,

*PRL(109)*, 2018, pp. 89-96.

Elsevier DOI
**1806**

Adaptive structure learning, Sparsity representation,
Local structure preservation
BibRef

*Yi, Y.[Yugen]*,
*Zhou, W.[Wei]*,
*Liu, Q.H.[Qing-Hua]*,
*Luo, G.L.[Guo-Liang]*,
*Wang, J.Z.[Jian-Zhong]*,
*Fang, Y.M.[Yu-Ming]*,
*Zheng, C.[Caixia]*,

**Ordinal preserving matrix factorization for unsupervised feature
selection**,

*SP:IC(67)*, 2018, pp. 118-131.

Elsevier DOI
**1808**

Unsupervised feature selection, Matrix factorization,
Ordinal locality structure preserving, Sparsity and low redundancy
BibRef

*Chen, X.H.[Xiu-Hong]*,
*Lu, Y.[Yun]*,

**Robust graph regularised sparse matrix regression for two-dimensional
supervised feature selection**,

*IET-IPR(14)*, No. 9, 20 July 2020, pp. 1740-1749.

DOI Link
**2007**

BibRef

IEEE DOI

BibRef

And: A2, A1:

IEEE DOI

Training, Feature extraction, Linear programming, Linear discriminant analysis, Task analysis, image classification. Feature extraction, Minimization, Linear programming, Linear discriminant analysis BibRef

*Yang, H.C.[Hai-Chuan]*,
*Huang, Y.J.[Yi-Jun]*,
*Tran, L.[Lam]*,
*Liu, J.[Ji]*,
*Huang, S.[Shuai]*,

**On Benefits of Selection Diversity via Bilevel Exclusive Sparsity**,

*CVPR16*(5945-5954)

IEEE DOI
**1612**

BibRef

*Liu, B.Y.[Bing-Yuan]*,
*Liu, J.[Jing]*,
*Bai, X.[Xiao]*,
*Lu, H.Q.[Han-Qing]*,

**Regularized Hierarchical Feature Learning with Non-negative Sparsity
and Selectivity for Image Classification**,

*ICPR14*(4293-4298)

IEEE DOI
**1412**

Biological system modeling
BibRef

*Liu, M.X.[Ming-Xia]*,
*Sun, D.[Dan]*,
*Zhang, D.I.[Daoq-Iang]*,

**Sparsity Score: A new filter feature selection method based on graph**,

*ICPR12*(959-962).

WWW Link.
**1302**

BibRef

*Yang, J.[Jian]*,
*Chu, D.[Delin]*,

**Sparse Representation Classifier Steered Discriminative Projection**,

*ICPR10*(694-697).

IEEE DOI
**1008**

BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in

Unsupervised Feature Selection .

Last update:Oct 20, 2021 at 09:45:26