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IJCAI
2003
15 years 5 months ago
Definition and Complexity of Some Basic Metareasoning Problems
In most real-world settings, due to limited time or other resources, an agent cannot perform all potentially useful deliberation and information gathering actions. This leads to t...
Vincent Conitzer, Tuomas Sandholm
AAAI
1998
15 years 5 months ago
Structured Representation of Complex Stochastic Systems
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
Nir Friedman, Daphne Koller, Avi Pfeffer
DAGM
2010
Springer
15 years 4 months ago
Complex Motion Models for Simple Optical Flow Estimation
The selection of an optical flow method is mostly a choice from among accuracy, efficiency and ease of implementation. While variational approaches tend to be more accurate than lo...
Claudia Nieuwenhuis, Daniel Kondermann, Christoph ...
BIOINFORMATICS
2010
109views more  BIOINFORMATICS 2010»
15 years 4 months ago
Phylogenetic networks do not need to be complex: using fewer reticulations to represent conflicting clusters
Phylogenetic trees are widely used to display estimates of how groups of species evolved. Each phylogenetic tree can be seen as a collection of clusters, subgroups of the species ...
Leo van Iersel, Steven Kelk, Regula Rupp, Daniel H...
CGF
2008
122views more  CGF 2008»
15 years 4 months ago
Accurate Shadows by Depth Complexity Sampling
The accurate generation of soft shadows is a particularly computationally intensive task. In order to reduce rendering time, most real-time and offline applications decorrelate th...
Vincent Forest, Loïc Barthe, Mathias Paulin