Bank Note Recognition by Probabilistic Principle Component Analysis

Face Recognition using Principle Component Analysis

The Principal Component Analysis (PCA) is one of the most successful techniques that have been used in image recognition and compression. PCA is a statistical method under the broad title of factor analysis. The purpose of PCA is to reduce the large dimensionality of the data space (observed variables) to the smaller intrinsic dimensionality of feature space (independent variables), which are n...

Probabilistic Principle Component Analysis on Time Lapse images

Time-lapse photography, in which images are captured at a lower rate than that at which they will ultimately be played back. Classic time-lapse photography subjects are scenes. Today, most of those image sequences are collected by the thousands of Internet cameras. They typically provide outdoor views of cities, construction sites, traffic, the weather, or natural phenomena. However, Time-lapse...

Exploring Gördes Zeolite Sites by Feature Oriented Principle Component Analysis of LANDSAT Images

Recent studies showed that remote sensing (RS) is an effective, efficient and reliable technique used in almost all the areas of earth sciences. Remote sensing as being a technique started with aerial photographs and then developed employing the multi-spectral satellite images. Nowadays, it benefits from hyper-spectral, RADAR and LIDAR data as well. This potential has widen its applicability in...

Supervised Kernel Locally Principle Component Analysis for Face Recognition

In this paper, a novel algorithm for feature extraction, named supervised kernel locally principle component analysis (SKLPCA), is proposed. The SKLPCA is a non-linear and supervised subspace learning method, which maps the data into a potentially much higher dimension feature space by kernel trick and preserves the geometric structure of data according to prior class-label information. SKLPCA ...

principle component analysis application in recognition of cellular resistance to cisplatin using ftir technology