Communication in distributed applications across a wide area network needs to cope with heterogenous and constantly changing network conditions. A promising approach to address thi...
A color image sent to a monochrome output device must undergo a color-to-grayscale transformation. Such a transform typically retains the luminance channel or a derivative thereof...
Neural network ensemble is a learning paradigm where several neural networks are jointly used to solve a problem. In this paper, the relationship between the generalization abilit...
Many transport policies and innovations are liable to have implications for human health and safety. How should such implications be weighed against the other costs and benefits? ...
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...