Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
— Imitation is a powerful mechanism for transferring knowledge from an instructor to a na¨ıve observer, one that is deeply contingent on a state of shared attention between the...
Aaron P. Shon, David B. Grimes, Chris Baker, Matth...
Abstract. UML-RT is an extension of UML for modelling embedded reactive and real-time software systems. Its particular focus lies on system descriptions on the architectural level,...
Surveillance is one of the promising applications to which smart camera motes forming a vision-enabled network can add increasing levels of intelligence. We see a high degree of i...
Stephan Hengstler, Daniel Prashanth, Sufen Fong, H...
ssionism”, (bottom row) “Abstract”, “Pointillism”, “Flower” and “Abstract” styles. Figure 3 shows some of the brush strokes used. We present techniques for trans...