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CVPR
2008
IEEE
16 years 6 months ago
Physical simulation for probabilistic motion tracking
Human motion tracking is an important problem in computer vision. Most prior approaches have concentrated on efficient inference algorithms and prior motion models; however, few c...
Marek Vondrak, Leonid Sigal, Odest Chadwicke Jenki...
BMCBI
2005
89views more  BMCBI 2005»
15 years 4 months ago
An empirical analysis of training protocols for probabilistic gene finders
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
William H. Majoros, Steven Salzberg
ICRA
2010
IEEE
151views Robotics» more  ICRA 2010»
15 years 3 months ago
Probabilistic target detection by camera-equipped UAVs
— This paper is motivated by the real world problem of search and rescue by unmanned aerial vehicles (UAVs). We consider the problem of tracking a static target from a bird’sey...
Andrew Colquhoun Symington, Sonia Waharte, Simon J...
CAISE
2005
Springer
15 years 10 months ago
An Object-Relational Approach to the Representation of Multi-granular Spatio-Temporal Data
The notion of spatio-temporal multi-granularity is fundamental when modeling objects in GIS applications in that it supports the representation of the temporal evolutions of these ...
Elisa Bertino, Dolores Cuadra, Paloma Martí...
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AIS
2004
Springer
15 years 10 months ago
Continuity and Change (Activity) Are Fundamentally Related in DEVS Simulation of Continuous Systems
Abstract. The success of DEVS methods for simulating large continuous models calls for more in-depth examination of the applicability of discrete events in modeling continuous phen...
Bernard P. Zeigler, Rajanikanth Jammalamadaka, Sal...