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(PDF) Face Recognition by Independent Component Analysis
Independent component analysis (ICA), a generalization of PCA, is one such method. We used a version of ICA derived from the principle of optimal information transfer through sigmoidal neurons.
International Journal of Advance Research in Computer ...
Face Recognition System (FRS) is a computer application, which can detect, verify and recognize the faces. This paper gives the literature survey of the related work. The area is still an active area of research and new algorithms are being published with increased accuracy and reduced recognition time. All FRS algorithms have the same objective of achieving high accuracy in face recognition ......
Independent component analysis - Wikipedia
In signal processing, independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents. This is done by assuming that the subcomponents are non-Gaussian signals and that they are statistically independent from each other. ICA is a special case of blind source separation.A common example application is the "cocktail party problem ......
ICA filters for lighting invariant face recognition ...
This paper addresses the problem of face recognition under variation of illumination and poses with large rotation angles using edge information as Independent Component (ICs).
ICA Face Recognition Matlab code - YouTube
A number of face recognition algorithms employ principal component analysis (PCA), which is based on the second-order statistics of the image set, and does not address high-order statistical ...
Face Recognition using independent component analysis of ...
The combination of Multiscale wavelet based edge detection and Independent Component Analysis (ICA) is used for Face ... [Show full abstract] Recognition becomes a novel approach. The independent ...
ICA for dummies – Arnaud Delorme
Independent Component Analysis is a signal processing method to separate independent sources linearly mixed in several sensors. For instance, when recording electroencephalograms (EEG) on the scalp, ICA can separate out artifacts embedded in the data (since they are usually independent of each other).
Face recognition using independent component analysis and ...
Independent component analysis (ICA) (Bell and Sejnowski, 1995) is also a relatively recent technique which has been mainly applied to blind signal separation, though it has been successfully applied to the face recognition problem too. ICA is a feature extraction technique, while SVM are a type of classifiers.
(PDF) Hybrid Independent Component Analysis and Support ...
Hybrid Independent Component Analysis and Support Vector Machine learning scheme for face detection Conference Paper (PDF Available) in Acoustics, Speech, and Signal Processing, 1988.
Face Recognition using Independent Component Analysis ...
Face Recognition using Independent Component Analysis Algorithm Article (PDF Available) in International Journal of Computer Applications 126(3):34-38 · September 2015 with 521 Reads
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