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.

This paper presents a quick review of reaction-diffusion systems that self-organize spatio-temporal patterns in chemical and biological systems. A pair of reaction-diffusion equations having activator and inhibitor variables is a typical model of equations describing their pattern formation processes. Some of the reaction-diffusion systems can realize several functions of image processing such ...

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 ...

Linearization of graph embedding has been emerged as an effective dimensionality reduction technique in pattern recognition. However, it may not be optimal for nonlinearly distributed real world data, such as face, due to its linear nature. So, a kernelization of graph embedding is proposed as a dimensionality reduction technique in face recognition. In order to further boost the recognition ca...

Linear Discriminative Analysis techniques have been used in pattern recognition to map feature vectors to achieve optimal classification. Kernel Discriminative Analysis(KDA) seeks to introduce non-linearity in this approach by mapping the features to a non-linear space before applying LDA analysis. The formulation is expressed as an eigenvalue problem resolution. Using a different kernel, one c...

he voice recognition is the method that calculates an optimal match between two given sequences with certain restrictions is called Dynamic time wrapping. The sequences are "warped" non-linearly in the time dimension to determine a measure of their similarity independent of certain non-linear variations in the time dimension. This sequence alignment method is often used in time series classific...

Emotion recognition, a key step of affective computing, is the process of decoding an embedded emotional message from human communication signals, e.g. visual, audio, and/or other physiological cues. It is well-known that speech is the main channel for human communication and thus vital in the signalling of emotion and semantic cues for the correct interpretation of contexts. In the verbal chan...

This paper introduces a novel nonlinear extension of Fisher’s classical linear discriminant analysis (FDA) known as high-order Fisher’s discriminant analysis (HOFDA). The ability of the new method to capture nonlinear relationships stems from its use of an extended polynomial space constructed out of the original features. Furthermore, a genetic algorithm (GA) is used in order to incrementally ...