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Independent Component Analysis based on multiple data ...
Independent Component Analysis based on multiple data-weighting. 05/31/2019 ∙ by Andrzej Bedychaj, et al. ∙ 0 ∙ share . Independent Component Analysis (ICA) - one of the basic tools in data analysis - aims to find a coordinate system in which the components of the data are independent....
 Recognizing Action Units for Facial Expression Analysis
optical flow, principal component analysis, independent component analysis, local feature analysis, and Gabor wavelet representation. Best performances were obtained by Gabor wavelet representation and independent component analysis which achieved a 95% average recognition rate for 6 upper face AUs and 6 lower face AUs....
US7254257B2 - Method and apparatus of recognizing face ...
A method and apparatus for recognizing and searching for a face using 2nd-order independent component analysis (ICA) are provided. The method for describing feature points uses 2nd-order ICA d to describe a facial image space and improve recognition performance in various illumination conditions. According to the method and apparatus, use of pose or illumination invariant face descriptor ......
Published Papers - University of Sheffield
Journal Publications. Stone JV, "Independent Component Analysis", The Encyclopedia of Statistics in Behavioral Science, BS Everitt and DC Howell (Eds), Wiley StatsRef: Statistics Reference Online, 2015. Download pdf file. Stone JV, "Using Reaction Times and Binary Responses to Estimate Psychophysical Performance: An Information-Theoretic Analysis", Frontiers in Decision Neuroscience, 8(35 ......
CiteSeerX — Multilinear Independent Components Analysis
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training image ensemble, but it cannot distinguish between the different factors, or modes, inherent to image formation, including scene structure, illumination, and imaging.
Eigenfaces: Recovering Humans from Ghosts | by Nev Acar ...
Eigenfaces is a method that is useful for face recognition and detection by determining the variance of faces in a collection of face images and use those variances to encode and decode a face in a machine learning way without the full information reducing computation and space complexity.
Subspace Based Object Recognition Using Support Vector ...
analysis of independent component analysis and principal component analysis (PCA) is also given for each experiment. 1-INTRODUCTION Object recognition, which is an easy task for a human observer, has long been the focus of much research in Computer Vision, forming an essential component of many machine-based object recognition systems. A large ......
icalab ICA : Independent component analysis, based - CodeBus
icalab ICA : Independent component analysis, based on MATLAB. FastICA_2.4] - based on independent component analysis [independentcomponentanalysis(maltabcode)used] - independent component analysis (maltab c[] - fast algorithm, the test after test, we[Classification-MatLab-Toolbox] - pattern recognition Matlab toolbox, incl[] - ICA achieving Matlab feature extraction...
Face Recognition for Beginners. Face Recognition is a ...
There are many statistical tools, which used for face recognition. These analytical tools used in a two or more groups or classification methods. These tools are as follows-4.2.1.Principal Component Analysis [PCA]:-One of the most used and cited statistical method is the Principal Component Analysis.
Independent Component Analysis - Papers With Code
Independent component analysis (ICA) is a statistical and computational technique for revealing hidden factors that underlie sets of random variables, measurements, or signals. ICA defines a generative model for the observed multivariate data, which is typically given as a large database of samples. In the model, the data variables are assumed to be linear mixtures of some unknown latent ...
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