State-of-the-art systems for automatic writer identification from handwritten text are based on two approaches: a statistical approach or a model-based approach. Both approaches have limitations. The main limitation of the statistical approach is that it relies on single-scale statistical features. The main limitation of the model-based approach is that the codebook generation is time-consuming...

This work deals with unsupervised image deblurring. We present a new deblurring procedure on images provided by lowresolution synthetic aperture radar (SAR) or simply by multimedia in presence of multiplicative (speckle) or additive noise, respectively. The method we propose is defined as a two-step process. First, we use an original technique for noise reduction in wavelet domain. Then, the le...

We discuss the property of a.e. and in mean convergence of the Kohonen algorithm considered as a stochastic process. The various conditions ensuring the a.e. convergence are described and the connection with the rate decay of the learning parameter is analyzed. The rate of convergence is discussed for different choices of learning parameters. We proof rigorously that the rate of decay of the le...

Dimension-reducing feature extraction neural network techniques which also preserve neighbourhood relationships in data have traditionally been the exclusive domain of Kohonen self organising maps. Recently, we introduced a novel dimension-reducing feature extraction process, which is also topographic, based upon a Radial Basis Function architecture. It has been observed that the gener-alisatio...

A new high capacity image steganography method based on kohonen neural network is introduced. Kohonen network is trained according to the absolute contrast sensitivity of pixels present in cover image. Trained network classify the pixels in different classes of sensitivity. Data embedding is performed in less sensitive pixels by LSB substitution method, which replaces the least significant bits...

Short term electricity demand forecasts are required by power utilities for efficient operation of the power grid. In a competitive market environment, suppliers and large consumers also require short term forecasts in order to estimate their energy requirements in advance. Electricity demand is influenced (among other things) by the day of the week, the time of year and special periods and/or ...

Abstract. In this paper we present an original neighborhood mechanism for WTM self-organizing Kohonen map implemented in CMOS 0.18 μm process. Proposed mechanism is an asynchronous circuit and does not require controlling clock generator. Propagation of an enable signal from a winning neuron to neurons that belong to the winner’s neighborhood is very fast. For example radius (R) of the neighbor...

The knowledge-based Toxtree expert system (SAR approach) was integrated with the statistically based counter propagation artificial neural network (CP ANN) model (QSAR approach) to contribute to a better mechanistic understanding of a carcinogenicity model for non-congeneric chemicals using Dragon descriptors and carcinogenic potency for rats as a response. The transparency of the CP ANN algori...

Kohonen maps are an efficient mechanism in signal processing and data mining applications. However, all the existing versions and approaches of this special type of neural networks are still incapable to efficiently handle within a simple, fast, and unified framework, the imperfection of the patterns’ information elements on the one hand like the uncertainty, the missing data, etc., and the het...

RoboCup competition as a great test-bed, has turned to a worldwide popular domains in recent years. The main object of such competitions is to deal with complex behavior of systems whichconsist of multiple autonomous agents. The rich experience of human soccer player can be used as a valuable reference for a robot soccer player. However, because of the differences between real and simulated soc...