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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 3 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
127
Voted
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
15 years 8 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 6 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...
123
Voted
IPSN
2007
Springer
15 years 8 months 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 7 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