purpose: to assess three main emotions (happy, sad and calm) by various classifiers, using appropriate feature extraction and feature selection. materials and methods: in this study a combination of power spectral density and a series of statistical features are proposed as statistical-frequency features. next, a feature selection method from pattern recognition (pr) tools is presented to extra...

in this paper, a chaotic particle swarm optimization with mutation-based classifier particle swarm optimization is proposed to classifypatterns of different classes in the feature space. the introduced mutation operators and chaotic sequences allows us to overcomethe problem of early convergence into a local minima associated with particle swarm optimization algorithms. that is, the mutationope...

This paper performs a comparative study on the statistical-variation tolerance between two crossbar architectures which are the complementary and twin architectures. In this comparative study, 10 greyscale images and 26 black-and-white alphabet characters are tested using the circuit simulator to compare the recognition rate with varying statistical variation and correlation parameters.As with ...

Novel pattern recognition techniques using multiple agents for the recognition of handwritten text are proposed in this paper. The concept of intelligent agents and innovative multi-agent architectures for pattern recognition tasks is introduced for combining and elaborating the classiication hypotheses of several classiiers. The architecture of a distributed digit-recognition system dispatchin...

2. Architectures Many problems in data analysis and pattern recognition may be attacked by neural networks. Sometimes this approach is better, sometimes it is worse than the use of alternatives. A general discussion is presented on possibilities, advantages and disadvantages of their use in comparison with more specific approaches. The study of neural networks, once almost a ‘black box’ has giv...

MOTIVATION Following the advent of microarray technology in recent years, the challenge for biologists is to identify genes of interest from the thousands of genetic expression levels measured in each microarray experiment. In many cases the aim is to identify pattern in the data series generated by successive microarray measurements. RESULTS Here we introduce a new method of detecting patter...

We are grateful for funding under the Robock Award in Empirical Economics from the University of Wisconsin. Wei-Yin Loh provided invaluable advice on the implementation of the tree regression methods employed in this paper. Keely thanks WARF and the Brookings Institution for generous research support, and Brookings for their hospitality. Tan thanks the generous research support provided by the ...

Some time ago Jerne proposed a new theory to explain the basis of the immune system. He suggested the existence of a functional connected network, based on pattern recognition of the idiotypes carried by the lymphocytes, which is responsible for the self regulation of the immune system. Only 15-20% of the lymphocytes available in the immune repertoire will participate in this functional network...

Electronic tongue systems are multisensor devices dedicated to automatic analysis of complicated composition samples and to the recognition of their characteristic properties. Recently, the number of publications covering this topic has significantly increased. Many possible architectures of such devices were proposed: potentiometric, voltammetric, as well as approaches embracing mass- and opti...