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» A Graphical Model for Evolutionary Optimization
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GRAPHITE
2006
ACM
15 years 5 months ago
Real-time animation of ancient Roman sites
In the presented article we discuss and detail the general methodological approaches, the reconstruction strategies and the techniques that have been employed to achieve the 3D in...
Nadia Magnenat-Thalmann, Alessandro Enrico Foni, N...
COLT
2010
Springer
14 years 9 months ago
Forest Density Estimation
We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estim...
Anupam Gupta, John D. Lafferty, Han Liu, Larry A. ...
SIGGRAPH
2010
ACM
15 years 4 months ago
Unstructured video-based rendering: interactive exploration of casually captured videos
We present an algorithm designed for navigating around a performance that was filmed as a “casual” multi-view video collection: real-world footage captured on hand held camer...
Luca Ballan, Gabriel J. Brostow, Jens Puwein, Marc...
ICML
2007
IEEE
16 years 17 days ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
ECML
2006
Springer
15 years 3 months ago
Combinatorial Markov Random Fields
Abstract. A combinatorial random variable is a discrete random variable defined over a combinatorial set (e.g., a power set of a given set). In this paper we introduce combinatoria...
Ron Bekkerman, Mehran Sahami, Erik G. Learned-Mill...