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» Tracking Complex Objects Using Graphical Object Models
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SODA
2001
ACM
79views Algorithms» more  SODA 2001»
15 years 7 months ago
Learning Markov networks: maximum bounded tree-width graphs
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 ...
David R. Karger, Nathan Srebro
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
15 years 12 months ago
Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head
— 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...
FASE
2001
Springer
15 years 10 months ago
A CSP View on UML-RT Structure Diagrams
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,...
Clemens Fischer, Ernst-Rüdiger Olderog, Heike...
IPSN
2007
Springer
16 years 13 days ago
MeshEye: a hybrid-resolution smart camera mote for applications in distributed intelligent surveillance
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...
NPAR
2004
ACM
15 years 11 months ago
Image and video based painterly animation
ssionism”, (bottom row) “Abstract”, “Pointillism”, “Flower” and “Abstract” styles. Figure 3 shows some of the brush strokes used. We present techniques for trans...
James Hays, Irfan A. Essa