Parkinson's disease (PD) is a prime example of a complex and heterogeneous disorder,
characterized by multifaceted and varied motor-and non-motor symptoms and different …

Cloud computing offers exciting new approaches for scientific computing that leverages the
hardware and software investments on large scale data centers by major commercial …

We investigate a software reliability growth model (SRGM) based on the Non Homogeneous
Poisson Process (NHPP) which incorporates a logistic testing effort function. Software …

The recent explosion of publicly available biology gene sequences and chemical
compounds offers an unprecedented opportunity for data mining. To make data analysis …

The large number of environmental problems faced by society in recent years has driven
researchers to collect and study massive amounts of data in order to understand the …

This paper presents a fast approximation method for Multidimensional Scaling (MDS)-based
dimensionality reduction on large cartography datasets. Since MDS preserves data point …

In this work we propose an anchor-based sensor networks localization scheme that utilizes
a dual spectral embedding. The input noisy distance measurements are first embedded by …

The recent explosion of publicly available biology gene sequences and chemical
compounds offers an unprece-dented opportunity for data mining. To make data analysis …

Technical advancements produces a huge amount of scientific data which are usually in
high dimensional formats, and it is getting more important to analyze those large-scale high …

Multidimensional Scaling (MDS) is a dimension reduction method for information
visualization, which is set up as a non-linear optimization problem. It is applicable to many …