Chong Lu

Research Field

Constructive

Rank (graph theory)

10.1007/978-3-540-87442-3_56

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Citations (8)

A simplified GLRAM algorithm for face recognition

Neurocomputing (2008)

Chong Lu Wanquan Liu Senjian An

Rank (graph theory)

10.1016/j.neucom.2007.11.046

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Citations (14)

A new rearrange modular two-dimensional LDA for face recognition

International Conference on Machine Learning and Cybernetics (2011)

Huxidan Jumahong Wanquan Liu Chong Lu

In this paper, we propose a novel Rearranged Modular 2DLDA(Rm2DLDA) algorithm for face recognition, In the proposed algorithm, the original images are first divided into modular blocks. Then the sub-images are rearranged to form a two dimensional matrix. Two scatter matrices are constructed directly using all the arranged matrices and eigenvectors are derived for image feature extraction based on two dimensional linear discriminant analysis (2DLDA). Experimental results on ORL, YaleB and PIE show that the proposed method can obtain better recognition accuracy.

Feature (linguistics)

Matrix (chemical analysis)

10.1109/icmlc.2011.6016674

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Citations (8)

Face Recognition Based on Rearranged Modular 2DPCA

Lecture notes in computer science (2012)

Huxidan Wanquan Liu Chong Lu

Feature (linguistics)

Matrix (chemical analysis)

10.1007/978-3-642-25944-9_51

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Citations (3)

Face recognition via local preserving average neighborhood margin maximization and extreme learning machine

Soft Computing (2012)

Xiaohong Chen Wanquan Liu Jianhuang Lai Zhen Li Chong Lu

Extreme Learning Machine

Maximization

10.1007/s00500-012-0818-4

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Citations (11)

Face recognition based on manifold constrained joint sparse sensing with K-SVD

Multimedia Tools and Applications (2018)

Jingjing Liu Wanquan Liu Shiwei Ma Chong Lu Xianchao Xiu

Manifold (fluid mechanics)

10.1007/s11042-018-6071-9

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Citations (6)

An Innovative Weighted 2DLDA Approach for Face Recognition

Lecture notes in computer science (2009)

Chong Lu Senjian An Wanquan Liu Xiaodong Liu

Scatter matrix

Feature (linguistics)

A-weighting

10.1007/978-3-642-10467-1_9

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Citations (0)

An Innovative Weighted 2DLDA Approach for Face Recognition

Journal of Signal Processing Systems (2010)

Chong Lu Senjian An Wanquan Liu Xiaodong Liu

Scatter matrix

Benchmark (surveying)

10.1007/s11265-010-0541-2

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Citations (12)

The matrix form for weighted linear discriminant analysis and fractional linear discriminant analysis

International Conference on Machine Learning and Cybernetics (2009)

Tianwei Xu Chong Lu Wanquan Liu

In this paper we will extend the recently proposed weighted linear discriminant analysis (W_LDA) and fraction-step linear discriminant analysis (F_LDA) from one dimension vector form to the case of two dimension matrix form, which are called weighted two dimensional linear discriminant analysis (W_2DLDA) and fraction-step two dimension linear discriminant analysis (F_2DLDA), respectively. The motivation of this work is based on the recent research results on two dimensional principal component analysis (2DPCA) and 2DLDA showing that the two dimensional algorithms can save computational costs significantly and thus improve the classifiers performances. First, we derived these numerical algorithms in matrix form and then we implement these two new algorithms on ORL and YALE face databases. The experimentation results show that W_2DLDA produces the best performance among F_2DLDA, F_LDA and W_LDA.

Scatter matrix

Optimal discriminant analysis

Matrix (chemical analysis)

Multiple discriminant analysis

Fraction (chemistry)

10.1109/icmlc.2009.5212309

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Citations (5)

Face recognition based on two dimensional locality preserving projections in frequency domain

Neurocomputing (2012)

Chong Lu Xiaodong Liu Wanquan Liu

Spatial frequency