Block LDA for face recognition
VDM Nhat, S Lee - … Intelligence and Bioinspired Systems: 8th International …, 2005 - Springer
Abstract Linear Discriminant Analysis (LDA) technique is an important and well-developed
area of image recognition and to date many linear discrimination methods have been put …
area of image recognition and to date many linear discrimination methods have been put …
Line-based PCA and LDA approaches for face recognition
VDM Nhat, S Lee - International Conference on Natural Computation, 2005 - Springer
Abstract Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA)
techniques are important and well-developed area of image recognition and to date many …
techniques are important and well-developed area of image recognition and to date many …
[PDF][PDF] Applications of Block Linear Discriminant Analysis for Face Recognition.
CY Chang, CW Chang, CY Hsieh - J. Inf. Hiding Multim. Signal …, 2011 - bit.kuas.edu.tw
Face recognition is an important issue in image analysis and understanding. Linear
discriminant analysis (LDA) has been widely used in face recognition. However, the LDA …
discriminant analysis (LDA) has been widely used in face recognition. However, the LDA …
Ensemble LDA for face recognition
Abstract Linear Discriminant Analysis (LDA) is a popular feature extraction technique for
face image recognition and retrieval. However, It often suffers from the small sample size …
face image recognition and retrieval. However, It often suffers from the small sample size …
A new LDA-based face recognition system which can solve the small sample size problem
A new LDA-based face recognition system is presented in this paper. Linear discriminant
analysis (LDA) is one of the most popular linear projection techniques for feature extraction …
analysis (LDA) is one of the most popular linear projection techniques for feature extraction …
Two-dimensional direct and weighted linear discriminant analysis for face recognition
R Zhi, Q Ruan - Neurocomputing, 2008 - Elsevier
In this paper, a novel algorithm for feature extraction—two-dimensional direct and weighted
linear discriminant analysis (2D-DWLDA)—is proposed. The improvement of 2D-DWLDA …
linear discriminant analysis (2D-DWLDA)—is proposed. The improvement of 2D-DWLDA …
A new LDA-based method for face recognition
Y Bing, J Lianfu, C Ping - 2002 International Conference on …, 2002 - ieeexplore.ieee.org
Linear discriminant analysis (LDA) is a feature extraction technique for classification. In this
paper, we propose a new LDA-based method that can overcome the drawback existed in …
paper, we propose a new LDA-based method that can overcome the drawback existed in …
(2D)2 DLDA for Efficient Face Recognition
D Cho, U Chang, K Kim, B Kim, S Lee - Advances in Image and Video …, 2006 - Springer
In this paper, a new feature representation technique called 2-directional 2-dimensional
direct linear discriminant analysis ((2D) 2 DLDA) is proposed. In the case of face recognition …
direct linear discriminant analysis ((2D) 2 DLDA) is proposed. In the case of face recognition …
[PDF][PDF] An efficient LDA algorithm for face recognition
It has been demonstrated that the Linear Discriminant Analysis (LDA) approach outperforms
the Principal Component Analysis (PCA) approach in face recognition tasks. Due to the high …
the Principal Component Analysis (PCA) approach in face recognition tasks. Due to the high …
Face recognition using direct-weighted LDA
D Zhou, X Yang - Pacific Rim International Conference on Artificial …, 2004 - Springer
This paper introduces a direct-weighted LDA (DW-LDA) approach to face recognition, which
can effectively deal with the two problems encountered in LDA-based face recognition …
can effectively deal with the two problems encountered in LDA-based face recognition …