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» The Computational Complexity of Probabilistic Planning
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JMLR
2010
121views more  JMLR 2010»
14 years 11 months ago
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation
Collapsed Gibbs sampling is a frequently applied method to approximate intractable integrals in probabilistic generative models such as latent Dirichlet allocation. This sampling ...
Han Xiao, Thomas Stibor
ICPR
2002
IEEE
16 years 5 months ago
Hierarchical Recognition of Intentional Human Gestures for Sports Video Annotation
We present a novel technique for the recognition of complex human gestures for video annotation using accelerometers and the hidden Markov model. Our extension to the standard hid...
Graeme S. Chambers, Svetha Venkatesh, Geoff A. W. ...
STACS
2005
Springer
15 years 9 months ago
Worst-Case and Average-Case Approximations by Simple Randomized Search Heuristics
Abstract. In recent years, probabilistic analyses of algorithms have received increasing attention. Despite results on the average-case complexity and smoothed complexity of exact ...
Carsten Witt
NC
2008
122views Neural Networks» more  NC 2008»
15 years 4 months ago
Computation with finite stochastic chemical reaction networks
A highly desired part of the synthetic biology toolbox is an embedded chemical microcontroller, capable of autonomously following a logic program specified by a set of instructions...
David Soloveichik, Matthew Cook, Erik Winfree, Jeh...
ICCD
2006
IEEE
148views Hardware» more  ICCD 2006»
16 years 1 months ago
Trends and Future Directions in Nano Structure Based Computing and Fabrication
— As silicon CMOS devices are scaled down into the nanoscale regime, new challenges at both the device and system level are arising. While some of these challenges will be overco...
R. Iris Bahar