We investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements...
The purpose of this article is to present a method for industrial process diagnosis with Bayesian network, and more particularly with Conditional Gaussian Network (CGN). The inter...
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Reconfigurable many-core processors have many advantages over conventionally designed devices, such as low power consumption and very high flexibility. For an increasing number of...
In this paper, a novel method to extend the grayscale histogram equalization (GHE) for color images in a multidimension is proposed. Unlike most current techniques, the proposed m...