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Face Recognition Using Independent Component Analysis and ...
Déniz⋆⋆ O., Castrillón M., Hernández M. (2001) Face Recognition Using Independent Component Analysis and Support Vector Machines ⋆. In: Bigun J., Smeraldi F. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2001. Lecture Notes in Computer Science, vol 2091.
Independent Component Analysis: A Review
analysis, projection pursuit and factor analysis. So Independent Component Analysis (ICA) is a method with help of which we can have a linear representation of nongaussian data so that the components are statistically independent. So, in this paper we see the basic theory and application of ICA. Key words: linear transformations makes ...
Multilinear Independent Components Analysis
Multilinear Independent Components Analysis M. Alex O. Vasilescu1,2 and Demetri Terzopoulos2,1 1Department of Computer Science, University of Toronto, Toronto ON M5S 3G4, Canada 2Courant Institute of Mathematical Sciences, New York University, New York, NY 10003, USA Abstract IndependentComponentsAnalysis(ICA)maximizesthesta-tistical independence of the representational components of...
(PDF) REAL-TIME FACE RECOGNITION USING EIGENFACES | IJESRT ...
[10] Sequential row–column independent component analysis for face recognitionNeurocomputing,by (Quanxue Gao, Lei Zhang, David Zhang) [11] C. Liu, H. Wechsler, Comparative Assessment of Independent Component Analysis (ICA) for Face Recognition, Proc. of the Second International Conference on Audio- and Video-based Biometric Person ......
Applying Artificial Neural Networks for Face Recognition
The model is assumed to have The strongest edge, correlation, and statistical model of profile. ... The Association of Geometric Feature-Based Method and Independent Component Analysis in Facial Feature Extraction ... “Face recognition by independent component analysis,” IEEE Transactions on Neural Networks, vol. 13, no. 6, pp. 1450–1464 ......
Independent Component Representations for Face Recognition
Keywords: Independent component analysis, ICA, principal component analysis, PCA, face recognition. 1. INTRODUCTION Several advances in face recognition such as "H~lons,~ " "Eigenfa~es,~ " and "Local Feature Analysis4" have employed forms of principal component analysis, which addresses only second-order moments of the input. Principal component...
A face recognition system based on convolution neural ...
Bartlett MS, Movellan JR, Sejnowski TJ (2002) Face recognition by independent component analysis. IEEE Trans Neural Netw 13(6):1450–1464. Article Google Scholar Belhumeur PN, Hespanha JP, Kriegman D (1997) Eigenfaces vs. fisherfaces: Recognition using class specific linear projection.
ISSN : 2454-9150 SVM and ANN-based Comparison of Face ...
Abstract— Face recognition is a very important component of human intelligence. For individual identity faces are rich in information. Since last few years, face recognition have been most important and successful applications of machine learning and computer security. The major method for face recognition consists of two steps....
Evaluation of the independent component analysis algorithm ...
Keywords: Face recognition, Principal Component Analysis (PCA), Independent Component Analysis (ICA), Yale face database. 1. INTRODUCTION Face Recognition is the process of identifying or recognizing a particular familiar face from a group of known or unknown faces....
A FAST FIXED-POINT ALGORITHM FOR INDEPENDENT COMPONENT ...
The study of face recognition based on hybrid principal components analysis and independent component analysis Yanhong Zhou, Shukai Cao, Dong Wen, Huiyang Zhang and Liqiang Zhao 1 Sep 2011
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