This tutorial presents an introduction to the studies undertaken by the authors and their collaborators between 1997 and 2009 on the topic of dissimilarity representations for pattern recognition.

In this paper, the correlation measure of neutrosophic refined(multi-) sets is proposed. The concept of this correlation measure of neutrosophic refined sets is the extension of correlation measure of neutrosophic sets and intuitionistic fuzzy multi-sets. Finally, using the correlation of neutrosophic refined set measure, the application of medical diagnosis and pattern recognition are presented.

Learning of temporal sequences is a topic of research in such different areas as speech and other temporal pattern recognition as well as motor control (for a survey see e.g. Mozer, 1993). In this paper an approach is presented which is particularly suitable for motor control due to the fact that it does not only reproduce temporal sequences in exactly the way they where learned but it is able ...

We instrument a system for recognizing handwritten mathematical expressions using the Recognition Strategy Library, a data provenance tool for pattern recognition research, in order to study the behavior of the recognition system and demonstrate the utility of the library. In this case study, the library was used to perform comparison tests to quantitatively analyze several modifications to the...

artificial immune systems (ais) can be defined as soft computing systems inspired by immune system of vertebrates. immune system is an adaptive pattern recognition system. ais have been used in pattern recognition, machine learning, optimization and clustering. feature reduction refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encoun...