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» Learning Nonlinear Dynamic Models from Non-sequenced Data
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ECCV
2004
Springer
14 years 10 months ago
Modeling and Synthesis of Facial Motion Driven by Speech
We introduce a novel approach to modeling the dynamics of human facial motion induced by the action of speech for the purpose of synthesis. We represent the trajectories of a numbe...
Payam Saisan, Alessandro Bissacco, Alessandro Chiu...
NIPS
2001
13 years 10 months ago
The Infinite Hidden Markov Model
We show that it is possible to extend hidden Markov models to have a countably infinite number of hidden states. By using the theory of Dirichlet processes we can implicitly integ...
Matthew J. Beal, Zoubin Ghahramani, Carl Edward Ra...
HICSS
2002
IEEE
140views Biometrics» more  HICSS 2002»
14 years 1 months ago
Intelligent Student Profiling with Fuzzy Models
Traditional Web-based educational systems still have several shortcomings when comparing with a real-life classroom teaching, such as lack of contextual and adaptive support, lack...
Dongming Xu, Huaiqing Wang, Kaile Su
ICPR
2008
IEEE
14 years 10 months ago
Weakly supervised learning using proportion-based information: An application to fisheries acoustics
This paper addresses the inference of probabilistic classification models using weakly supervised learning. In contrast to previous work, the use of proportion-based training data...
Carla Scalarin, Jacques Masse, Jean-Marc Boucher, ...
AIME
2009
Springer
14 years 1 months ago
Prediction of Mechanical Lung Parameters Using Gaussian Process Models
Abstract. Mechanical ventilation can cause severe lung damage by inadequate adjustment of the ventilator. We introduce a Machine Learning approach to predict the pressure-dependent...
Steven Ganzert, Stefan Kramer, Knut Möller, D...