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 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 ...
www.ijsrd.com/articles/IJSRDV3I31618.pdf
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Independent Component Analysis - Cambridge Core
Independent Component Analysis (ICA) has recently become an important tool for modelling and understanding empirical datasets. It is a method of separating out independent sources from linearly mixed data, and belongs to the class of general linear models.
Face recognition: A literature survey: ACM Computing ...
Discriminant analysis of principal components for face recognition. In Proceedings, International Conference on Automatic Face and Gesture Recognition. 336--341.]] Google Scholar Digital Library; Zhao, W., Chellappa, R., and Phillips, P. J. 1999. Subspace linear discriminant analysis for face recognition....
Various Techniques used for Face Recognition
In this approach, complete face region is taken into account as input data into face catching system. One of the best example of holistic methods are Eigenfaces, PCA, Linear Discriminant Analysis and independent component analysis etc. Let's see the steps of Eigenfaces Method : This approach covers face recognition as a two-dimensional ......
Face Recognition Based on ICA Combined with FLD
Abstract. Recently in face recognition, as opposed to our expectation, the performance of an ICA (Independent Component Analysis) method combined with LDA (Linear Discriminant Analysis) was reported as lower than an ICA only based method.
 ARM BASED SECURITY SYSTEM USING LINEAR DISCRIMINANT ANALYSIS
technology. Face recognition requires comparing an image with database of stored images. There are different types of face recognition algorithms. For face recognition and comparison in this paper three appearance-based methods namely Principal Component Analysis, Independent Component Analysis and...