Those who study classiication theory, whether it be in the form of statistical pattern recognition, syntactical pattern recognition, or neural approaches to classiication are aware of the recent achievements and advances of their elds. For example names such as Bayes, Fisher, Wald, Fu, and Rosenblatt are well known for their pioneering contributions to classiication theory. However, few are awa...

In this paper we propose a new algorithm for providing conndence and credibility values for predictions on a multi-class pattern recognition problem which uses Support Vector machines in its implementation. Previous algorithms which have been proposed to achieve this are very processing intensive and are only practical for small data sets. We present here a method which overcomes these limitati...

Received July 7, 1993; revised manuscript received November 22, 1993; accepted December 14, 1993 We propose orthogonal Fourier-Mellin moments, which are more suitable than Zernike moments, for scaleand rotation-invariant pattern recognition. The new orthogonal radial polynomials have more zeros than do the Zernike radial polynomials in the region of small radial distance. The orthogonal Fourier...

Pattern Recognition defined as a classification of input data via extraction important features from a lot of noisy data. The identification or interpretation of the pattern in an image can be described effectively with the help of Pattern Recognition (PR). It aims to extract information about the image to classify its contents. Inputs are in the form of digitized binary valued 2D images or tex...

This paper is the outcome of a literature research regarding approaches to distributed pattern recognition in Wireless Sensor Networks. The focus is to excerpt the fundamental approaches described in the papers and to give a categorization of them.

majority voting, plurality voting, expert combination, fault-tolerance Voting is a well-known technique used to combine decisions of peer experts. It has wide application in many domains. Voting is used in fault tolerant applications to mask errors from one or more experts using N-Modular Redundancy (NMR) and N-version Programming. It is also used in pattern recognition applications where decis...

Performance metrics are used in various stages of the process aimed at solving a classification problem. Unfortunately, most of these metrics are in fact biased, meaning that they strictly depend on the class ratio –i.e., on the imbalance between negative and positive samples. After pointing to the source of bias for the most acknowledged metrics, novel unbiased metrics are defined, able to cap...

This report presents a synoptic overview of Thue Systems. Thue Systems were introduced in the early 1900s by the Norwegian mathematician and logician Axel Thue. In this report the author suggests ways in which such systems can be used in pattern recognition.

This article presents a brief review of methods to visualize forms of parts of the human body in different spatial resolutions by applying navigation observation and pattern recognition to three dimensional (3D) X-ray CT images. Several examples of 3D views of the parts of human body are shown. They are characterized by that the viewpoint is selected arbitrarily inside the body and moved around...