Hidden Markov Models are a widely used generative model for analysing sequence data. A variant, Profile Hidden Markov Models are a special case used in Bioinformatics to represent,...
Stefan Mutter, Bernhard Pfahringer, Geoffrey Holme...
Compile-time code transformations which expose instruction-level parallelism (ILP) typically take into account the constraints imposed by all execution scenarios in the program. H...
Richard E. Hank, Scott A. Mahlke, Roger A. Bringma...
Abstract-- Channel estimation for frequency-selective timevarying channels is considered using superimposed training. We employ a discrete prolate spheroidal basis expansion model ...
This paper describes a system that can build appearance models of animals automatically from a video sequence of the relevant animal with no explicit supervisory information. The ...
Sprite-based video coding offers higher compression efficiency than conventional block-based hybrid video coders. In sprite coding a sequence is divided into a model of its backgr...