Abstract. Recent findings in the domain of combining classifiers provide a surprising revision of the usefulness of diversity for modelling combined performance. Although there is ...
Abstract-- Identification of output error models from frequency domain data generally results in a non-convex optimization problem. A well-known method to approach the output error...
Abstract-- We identify an analytical expression for the distortion of a scalable video bitstream containing a Base Layer (BL) and one or more Enhancement Layer (EL) bitstreams. Con...
Abstract—Progress indicators for SQL queries were first published in 2004 with the simultaneous and independent proposals from Chaudhuri et al. and Luo et al. In this paper, we ...
Abstract. We propose a method of unsupervised learning from stationary, vector-valued processes. A low-dimensional subspace is selected on the basis of a criterion which rewards da...