Principal Component Analysis (PCA) is a useful technique for reducing the dimensionality of datasets for compression or recognition purposes. Many different methods have been proposed for performing PCA. This study aims to compare these methods by analysing the solutions which these methods find. We have estimated the correlation between these solutions and produced the errors using bootstrap r...

It is well known that principal component analysis (PCA) only considers the second-order statistics and that independent component analysis (ICA) exploits higher-order statistics of the data. In this paper, for whitened data, we give an elegant way to incorporate higherorder statistics implicitly in the form of second-order moments, and show that ICA can be performed by PCA following a simple t...

background: the spread of urbanization in floodplains as well as increase of industrial and agricultural activities in river discharges may lead to water pollution by physical, chemical and biological pollutants. one of the major concerns in monitoring the water resources system is indentifying major quality parameters and determining a relationship between physical and chemical parameters. thi...

Continuous Gaussian Mixture Modeling p. 176 New Statistical Models for RandomsPrecorrected PET Scans p. 190 Registration of 3D Medical Images Using Simple Morphological Tools p. 204 Deformation for ImageGuided Interventions Using a Three Component Tissue Model p. 218 Registration of Abdominal CT and SPECT Images Using Compton Scatter Data p. 232 Definition of Volume Transformations for Volume I...

We propose a new model for natural image statistics. Instead of minimizing dependency between components of natural images, we maximize a simple form of dependency in the form of tree-dependencies. By learning filters and tree structures which are best suited for natural images we observe that the resulting filters are edge filters, similar to the famous ICA on natural images results. Calculati...

background celiac disease (cd) is a disorder associated with body reaction to gluten. after the gluten intake, an immune reaction against the protein occurs and damages villi of small intestine in celiac patients gradually. objectives the osc, a filtering method for minimization of inter- and intra-spectrometer variations that influence on data acquisition, was applied to biofluid nmr data of c...

Network traffic data collected for intrusion analysis is typically high-dimensional making it difficult to both analyze and visualize. Principal Component Analysis is used to reduce the dimensionality of the feature vectors extracted from the data to enable simpler analysis and visualization of the traffic. Principal Component Analysis is applied to selected network attacks from the DARPA 1998 ...