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NIPS
2007
15 years 7 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
WSCG
2004
168views more  WSCG 2004»
15 years 7 months ago
Computer-assisted Analysis of in-vitro Vasculogenesis and Angiogenesis Processes
In recent years many experimental investigations have been carried out on vasculogenesis and angiogenesis, the mechanisms of blood vessels formation. Neovascularization is a hallm...
Fabrizio Lamberti, Andrea Gamba, Bartolomeo Montru...
ECAI
2010
Springer
15 years 7 months ago
On Finding Compromise Solutions in Multiobjective Markov Decision Processes
A Markov Decision Process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagen...
Patrice Perny, Paul Weng
HPDC
2010
IEEE
15 years 6 months ago
Parallel processing of data from very large-scale wireless sensor networks
In this paper we explore the problems of storing and reasoning about data collected from very large-scale wireless sensor networks (WSNs). Potential worldwide deployment of WSNs f...
Christine Jardak, Janne Riihijärvi, Frank Old...
CGF
2008
105views more  CGF 2008»
15 years 6 months ago
Curvature-Domain Shape Processing
We propose a framework for 3D geometry processing that provides direct access to surface curvature to facilitate advanced shape editing, filtering, and synthesis algorithms. The c...
Michael Eigensatz, Robert W. Sumner, Mark Pauly