— Word sense disambiguation (WSD), the task of identifying the intended meanings (senses) of words in context, has been a long-standing research objective for natural language pr...
: Dimensionality reduction methods (DRs) have commonly been used as a principled way to understand the high-dimensional data such as face images. In this paper, we propose a new un...
We present different kernels based on Lattice-Boltzmann methods for the solution of the twodimensional Shallow Water and Navier-Stokes equations on fully structured lattices. The...
Recent research in compositional real-time systems has focused on determination of a component’s real-time interface parameters. An important objective in interface-parameter de...
—This study examines the ability of nonnegative matrix factorization (NMF) as a method for constructing semantic spaces, in which the meaning of each word is represented by a hig...