Stroke distance--an improved measure of cardiovascular function?

An XML Distance Measure

Distance measures are used extensively in data mining and other types of data analysis. Such measures assume it is possible to compute for each pair of domain objects their mutual distance. Much of the research in distance measures concentrates on objects either in attribute-value representation or in first-order representation. With the increasing use of XML technology as a means for unambiguo...

Revision of a fuzzy distance measure

An Improved Skewness Measure

Skewness is an important property of a population. Although many measures have been proposed there is no consensus on what should be used in practice. We propose a new measure which is appropriate when the direction of the skewness is known a priori. It is simple to interpret and easy to estimate.

An Unsupervised Bayesian Distance Measure

We introduce a distance measure based on the idea that two vectors are considered similar if they lead to similar predictive probability distributions. The suggested approach avoids the scaling problem inherent to many alternative techniques as the method automatically transforms the original attribute space to a probability space where all the numbers lie between 0 and 1. The method is also ex...

Field Programmable Gate Array–based Implementation of an Improved Algorithm for Objects Distance Measurement (TECHNICAL NOTE)

In this work, the design of a low-cost, field programmable gate array (FPGA)-based digital hardware platform that implements image processing algorithms for real-time distance measurement is presented. Using embedded development kit (EDK) tools from Xilinx, the system is developed on a spartan3 / xc3s400, one of the common and low cost field programmable gate arrays from the Xilinx Spartan fami...