Offline handwritten character recognition has been one of the most engrossing and challenging research areas in the field of pattern recognition in the recent years. Offline handwritten character recognition is a very problematic research area because writing styles may vary from one user to another. In this paper a proposed technique for offline handwritten Gurmukhi character recognition has b...

Ultrasound imaging is the safest and most widely used medical technique available today. The main disadvantage of ultrasound presence speckle noise in its images that may obscure pathological changes body makes diagnosis more challenging. Therefore, many techniques were proposed to reduce improve image quality. Unfortunately, variations their performance with different scan parameters due metho...

We describe a modification to the collapsing method, a technique that aims to find the simplest structures in a cloud of microearthquakes by utilizing the statistical uncertainties in the data. In the modified collapsing method, the movements of the locations are dependent on the shape of the distribution of the locations within the confidence ellipsoid, and not just the position of the center ...

The paper focuses on the development of a classification strategy to identify critic situation in batch process control. Data acquired from a batch execution is reduced by means of multiway principal component analysis in order to be assessed according to the statistical model of the process. Multiple situations have been categorized by a classification algorithm applied to the principal compon...

A technique allowing automatic representation by a relatively small number of independent parameters based on the principal component analysis of data sequences is presented. In some instances the parameters can serve as an independent description, classification, and compression of the observational results.

We analyzed a statistical model of diaphragm motion using regular principal component analysis (PCA) and generalized N-dimensional PCA (GND-PCA). First, we generate 4D MRI of respiratory motion from 2D MRI using an intersection profile method. We then extract semiautomatically the diaphragm boundary from the 4D-MRI to get subject-specific diaphragm motion. In order to build a general statistica...

The accuracy and computational complexity of five methods to impute missing genotypes in high density SNP data was investigated. The haplotype reconstruction package fastPHASE reached the highest accuracies (91% to 98%) for varying proportions (0.2% to 8%) of missing genotypes. Alternative methods based on principal component analysis were less accurate (67% to 94%), but their computational dem...

P. THOMAS FLETCHER: Statistical Variability in Nonlinear Spaces: Application to Shape Analysis and DT-MRI. (Under the direction of Stephen M. Pizer and Sarang Joshi.) Statistical descriptions of anatomical geometry play an important role in many medical image analysis applications. For instance, geometry statistics are useful in understanding the structural changes in anatomy that are caused by...

The responsiveness of 10 horses and 10 ponies to environmental challenge (represented by an open field test) was assessed using a qualitative approach based on free choice profiling methodology (FCP), which gives observers complete freedom to choose their own descriptive terms. Data were analysed with generalised Procrustes analysis (GPA), a multivariate statistical technique associated with FC...