In this paper, we introduce a novel context sensitive system design paradigm. Multiple sensors/ computational architecture, in the form of our eWatch device, is used to infer the ...
Asim Smailagic, Daniel P. Siewiorek, Uwe Maurer, A...
It is a di cult problem to display large, complex graphs in a manner which furthers comprehension. A useful approach is to expand selected sections foci of the graph revealing de...
M. Sheelagh T. Carpendale, David J. Cowperthwaite,...
Agents that operate in a real-world environment have to process an abundance of information, which may be ambiguous or noisy. We present a method inspired by cognitive research tha...
Maria E. Niessen, Gert Kootstra, Sjoerd de Jong, T...
We present Paged Graph Visualization (PGV), a new semiautonomous tool for RDF data exploration and visualization. PGV consists of two main components: a) the “PGV explorer” an...
Leonidas Deligiannidis, Krys Kochut, Amit P. Sheth
This paper exploits the context of natural dynamic scenes
for human action recognition in video. Human actions
are frequently constrained by the purpose and the physical
propert...
Marcin Marszalek (INRIA), Ivan Laptev (INRIA), Cor...