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ICIP
2003
IEEE
14 years 11 months ago
Unsupervised statistical sketching for non-photorealistic rendering models
This paper investigates the use of the Bayesian inference for devising an unsupervised sketch rendering procedure. As likelihood model of this inference, we exploit the recent sta...
Max Mignotte
UAI
2008
13 years 11 months ago
Church: a language for generative models
Formal languages for probabilistic modeling enable re-use, modularity, and descriptive clarity, and can foster generic inference techniques. We introduce Church, a universal langu...
Noah Goodman, Vikash K. Mansinghka, Daniel M. Roy,...
IPPS
1998
IEEE
14 years 2 months ago
A Molecular Quasi-Random Model of Computations Applied to Evaluate Collective Intelligence
The paper presents how the Random PROLOG Processor (RPP), a bio-inspired model of computations, can be used for formalization and analysis of a phenomenon - the Collective Intelli...
Tadeusz Szuba
CODES
2010
IEEE
13 years 8 months ago
Statistical approach in a system level methodology to deal with process variation
The impact of process variation in state of the art technology makes traditional (worst case) designs unnecessarily pessimistic, which translates to suboptimal designs in terms of...
Concepción Sanz Pineda, Manuel Prieto, Jos&...
DAGM
2009
Springer
14 years 4 months ago
Simultaneous Estimation of Pose and Motion at Highly Dynamic Turn Maneuvers
Abstract. The (Extended) Kalman filter has been established as a standard method for object tracking. While a constraining motion model stabilizes the tracking results given noisy...
Alexander Barth, Jan Siegemund, Uwe Franke, Wolfga...