Zero drift and solid Earth tide extracted from relative gravimetric data with principal component analysis

Faults and fractures detection in 2D seismic data based on principal component analysis

Various approached have been introduced to extract as much as information form seismic image for any specific reservoir or geological study. Modeling of faults and fractures are among the most attracted objects for interpretation in geological study on seismic images that several strategies have been presented for this specific purpose. In this study, we have presented a modified approach of ap...

Drift Compensation of Gas Sensor Array Data by Common Principal Component Analysis

A new drift compensation method based on Common Principal Component Analysis (CPCA) is proposed. The drift variance in data is found as the principal components computed by CPCA. This method finds components that are common for all gasses in feature space. The method is compared in classification task with respect to the other approaches published where the drift direction is estimated through ...

Learning from Data. Dimensionality Reduction: Principal Component Analysis

Extracting Information from Interval Data Using Symbolic Principal Component Analysis

We address the definition of symbolic variance and covariance for random interval-valued variables, and present four known symbolic principal component estimation methods using a common insightful framework. In addition, we provide a simple explicit formula for the scores of the symbolic principal components, equivalent to the representation by Maximum Covering Area Rectangle. Furthermore, the ...

Microcalcification Features Extracted from Principal Component Analysis in the Wavelet Domain

In presence of dense mammographic parenchyma, microcalcifications (MCs) are obscured by anatomical structures, resulting in missed or/and false detections. Image analysis methods applied to improve visualization, detection and/or characterization of MCs, are targeted to MC SNR improvement and are unavoidably accompanied by MC background overenhancement or false positive (FP) detections. A set o...