In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...
— Increasing demands for robust image recognition systems require vision processors not only with enormous computational capacities but also with sufficient flexibility to hand...
Kota Yamaguchi, Yoshihiro Watanabe, Takashi Komuro...
The use of genetic programming for probabilistic pattern matching is investigated. A stochastic regular expression language is used. The language features a statistically sound sem...
Abstract- The large majority of existing clustering algorithms are centered around the notion of a feature, that is, individual data items are represented by their intrinsic proper...
Morphological operators designed for grey-scale functions process every points of the space identically whatever their luminance. In many situations however, it is interesting to ...