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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 ......
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....
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.
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....
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 ...
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...
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).
Genetic Programming Based Face Recognition
face recognition and classification have been proposed in the literature. These can be classified as Principal Components Analysis (PCA) [3], Fisher’s Linear Discriminant (FLD) [4], Independent Components [5], Discriminative Common Vectors [6] and Laplacianfaces [7]. Face recognition is an unsolved problem under the conditions of pose ......
Learning Robust and Discriminative Manifold ...
for face and object recognition task. The second contribution of this thesis is a biologically motivated manifold learn-ing framework for image set classification by independent component analysis (ICA) for Grassmann manifolds. It has been discovered that the simple cells in the visual cortex learn spatially localized image representations....
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