48 search results - page 6 / 10 » Estimating Dynamic Graphical Models from Multivariate Time-s... |
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ESANN
2006
14 years 11 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
SIGGRAPH
1999
ACM
15 years 2 months ago
1999
ACM
We introduce a method for predicting a control signal from another related signal, and apply it to voice puppetry: Generating full facial animation from expressive information in ...
KDD
2009
ACM
15 years 2 months ago
2009
ACM
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
ICCV
2007
IEEE
15 years 12 months ago
2007
IEEE
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
CDC
2010
IEEE
14 years 5 months ago
2010
IEEE
Abstract-- Identification of output error models from frequency domain data generally results in a non-convex optimization problem. A well-known method to approach the output error...