Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
The multidimensional analysis based on data cube has been growing interest. However existing data cube model usually does not have the semantics of attributes and hence the analysi...
Abstract. In his paper we introduce two improvements to the threedimensional gamut mapping approach to computational colour constancy. This approach consist of two separate parts. ...
This paper presents a new unified subdivision scheme that is defined over a k-simplicial complex in n-D space with k 3. We first present a series of definitions to facilitate top...
Spatio-temporal network is defined by a set of nodes, and a set of edges, where the properties of nodes and edges may vary over time. Such networks are encountered in a variety of...