independent component analysis models
Semi-Parametric Models for Independent Component Analysis.
... In density estimation using finite mixtures, an important issue is the choice of the num- ber of components, N , in the mixture. Furman and Lindsay (1994) proposed a method for choosing the number of components based on ...
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Face Identification and Recognition System for User Authentication using Advanced Image Processing Techniques
... Principal Component Analysis, Linear Discriminant analysis, Independent Component Analysis) and two transformation techniques (Wavelet Packet Transformation and Curvelet ...
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Dependence, Correlation and Gaussianity in Independent Component Analysis
... We explain in which sense the Gaussian manifold G and the product manifold P intersect orthog- onally. Two smooth manifolds intersect orthogonally at a given point if their tangent planes at this point are orthogonal. ...
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Characterization of Strombolian events by using independent component analysis
... physical models is sim- ple and well ...seminal models are improved and discriminated according to their capability to provide new phenomena to test expe- ...
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Leaf vein extraction using independent component analysis
... proper models or representation schemes, a large number of variations of the plant species, and imprecise image preprocessing techniques, such as edge detection and contour ...
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Statistical Dynamics of On-line Independent Component Analysis
... asymptotic analysis by considering the limit of large system ...principal component analysis (PCA) algorithm (Biehl, 1994, Biehl and Schl ¨osser, 1998) have been studied in this ...
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Advancement Is Independent Component Analysis Speech Enhancement Process
... Recently, a DCT based SSA imitating the human hearing resolution was proposed [9]. However, no algorithm which employs a sophisticated hearing model with a KLT based SSA is available. The reason is that the SSA do not ...
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An Overview of Independent Component Analysis and Its Applications
... as independent component analysis ...on independent component analysis and blind signal ...signal analysis, sound separation, image processing, dimension reduction, coding ...
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TEXT INDEPENDENT SPEAKER IDENTIFICATION WITH PRINCIPAL COMPONENT ANALYSIS
... text independent speaker identification system with Generalized Gaussian distribution using integrating PCA in the system after feature ...mixture models is that the individual component densities of ...
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Independent component analysis techniques and their performance evaluation for electroencephalography
... spatially independent groups of neurons are recruited to accomplish a given ...several models have been suggested [3.25]. Most models are based on a grouping of a number of neurons into a single ...
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Iris Recognition Using Independent Component Analysis
... Biometric recognition refers to the process of matching an input biometric to stored biometric information. In particular, biometric verification refers to matching the live biometric input from an individual to the ...
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An Approach of Secure Face recognition using Linear discriminant analysis in Network
... Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Independent Component Analysis (ICA) and feature based Elastic Bunch Graph Matching (EBGM) and 2D and 3D ...
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Comparison of Iris Recognition Using Gabor Wavelet, Principal Component Analysis and Independent Component Analysis
... guaranteed to pass whenever the phase codes for two different eyes are compared, but it uniquely fails when any eye’s phase code is compared with another version of itself. Importance of iris is well described in ...
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Weather Data Mining Using Independent Component Analysis
... Classical laws of fluid motion govern the states of the atmosphere. Atmospheric states exhibit a great deal of correlations at various spatial and temporal scales. Numerical models for predicting weather attempt ...
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B-spline mutual information independent component analysis
... Recently, B-Spline has been widely used in the estimation of MI. Klien et al. [22] in their research found that the maximisation of MI, in combination with a deformation field parameterised by cubic B-Spline, has been ...
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A STUDY OF FACE RECOGNITION TECHNIQUES
... some kind of abstractions of information. So it can be utilized in a number of ways in complex tasks such as pattern classification, process analysis, machine perception, control, and communication . It is an ...
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Independent component approach to the analysis of EEG and MEG recordings
... MEG. Analysis of the distri- butions of artifacts such as the cardiac cycle, ocular activity or a digital watch has shown the statistical independence approxi- mation to be ...
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A Review of Various Linear and Non Linear Dimensionality Reduction Techniques
... The author [8] proposes a novel matrix decomposition technique for large sparse graphs. Several important applications such as research citation network analysis, social network analysis, regulatory ...
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Word sense induction using independent component analysis
... We ran two experiments, one with 100 independent components and the second with 1000 components. For the experiment we have manually selected 9 words, which we expected to be easier to analyze. We have, however, ...
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IMAGE DENOISING USING INDEPENDENT COMPONENT ANALYSIS TECHNIQUE
... Ten other methods available in the signal processing and chemometrics literature are overviewed and compared with the proposed method. Three data sets are used to test the different methods for selecting the number of ...
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