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ICPR
2008
IEEE
16 years 7 months ago
Supervised learning of a generative model for edge-weighted graphs
This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
Andrea Torsello, David L. Dowe
WSC
1997
15 years 7 months ago
Using Compensating Reconfiguration to Maintain Military Distributed Simulations
In Department of Defense (DoD) distributed training simulations, events occur that can cause unrealistic behavior. These events can be system events, such as the loss of a hostor ...
Donald J. Welch, James M. Purtilo
NIPS
2003
15 years 7 months ago
Hierarchical Topic Models and the Nested Chinese Restaurant Process
We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...
ICIP
2007
IEEE
16 years 7 months ago
Unsupervised Lips Segmentation Based on ROI Optimisation and Parametric Model
Lips segmentation is a very important step in many applications such as automatic speech reading, MPEG-4 compression, special effects, facial analysis and emotion recognition. In ...
Christian Bouvier, Pierre-Yves Coulon, Xavier Mald...
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
15 years 7 months ago
Discriminating self from non-self with finite mixtures of multivariate Bernoulli distributions
Affinity functions are the core components in negative selection to discriminate self from non-self. It has been shown that affinity functions such as the r-contiguous distance an...
Thomas Stibor