Abstract. We present a clustering method for continuous data. It defines local clusters into the (primary) data space but derives its similarity measure from the posterior distribu...
A quadratic programming formulation for multiclass image segmentation is investigated. It is proved that, in the convex case, the non-negativity constraint on the recent reported ...
To provide insight into Internet operation and performance, recent efforts have measured various aspects of the Internet, developing and improving measurement tools in the process....
Neil T. Spring, David Wetherall, Thomas E. Anderso...
A popular way to measure the degree of dependence between two random objects is by their mutual information, defined as the divergence between the joint and product-of-marginal dis...
The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...