Abstract. We address the problem of entropy estimation for highdimensional finite-accuracy data. Our main application is evaluating high-order mutual information image similarity c...
: While feature selection is very difficult for high dimensional, unstructured data such as face image, it may be much easier to do if the data can be faithfully transformed into l...
This paper is about finding explicit and implicit connections between people by mining semantic associations from their email communications. Following from a sociocognitive stance...
Abstract. We extend an information metric from intermodality (2image) registration to multimodality (multiple-image) registration so that we can simultaneously register multiple im...
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...