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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.
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....
 Face Modeling by Information Maximization
[42] C. Liu and H. Wechsler. Comparative assessment of independent component analysis (ica) for face recognition. In International conference on audio and video based biometric person authentication, 1999. [43] Q. Liu, J. Cheng, H. Lu, and S. Ma. Modeling face appearance with nonlinear independent component analysis....
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 ...
RFID and Face Recognition Based Security and Access ...
The researcher expect to increase strength of security by 50%. Face recognition under constrained condition and RFID are contactless processes. The approach presented in this paper for face recognition uses DWT and Euclidean distance method. Face recognition is a very important component in many applications like search engine and emotion detector....
Research - M. Alex O. Vasilescu - MIT Media Lab
In the context of facial image ensembles, we demonstrate that the statistical regularities learned by MICA capture information that improves automatic face recognition. "Multilinear (Tensor) ICA and Dimensionality Reduction", M.A.O. Vasilescu, D. Terzopoulos, Proc. 7th International Conference on Independent Component Analysis and Signal ......
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....
IET Digital Library: Efficient eye detection method based ...
Detection of facial features such as eye, nose and mouth in the human face images is important for many applications like face identification or recognition systems. Independent components analysis (ICA) is an unsupervised learning method which decorrelates the higher-order statistics in addition to the second-order moments. Recently, it is used as a technique for face recognition....
(PDF) Multilinear independent component analysis | Demetri ...
In particular, the linear, After reviewing the mathematical foundations of our appearance-based face recognition method known as Eigen- work in the next section, we introduce our multilinear ICA faces [9] is founded on the principal components analysis algorithm in Section 3 and develop the associated recogni- (PCA) of facial image ensembles [7]....
Independent Component Analysis (ICA)
Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS. [Cited by 75] (6.72/year) BARTLETT, M.S., J.R. MOVELLAN and T.J. SEJNOWSKI, 2002. Face recognition by independent component analysis. Neural Networks, IEEE Transactions on. [Cited by 367] (59.51/year)...
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