The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
In structural molecular biology software, the accessibility of an atom in a molecule to a ball representing solvent is either computed slowly by building a solventaccessible surfa...
For a given (terminating) term rewriting system one can often estimate its derivational complexity indirectly by looking at the proof method that established termination. In this s...
Reference Picture Selection (RPS) is a powerful error control technique for video streaming. Previously, two fast block-based motion vector concatenation (MVC) algorithms were pro...
Graphs are canonical examples of high-dimensional non-Euclidean data sets, and are emerging as a common data structure in many fields. While there are many algorithms to analyze ...
Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wol...