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» Learning to Transform Time Series with a Few Examples
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COSIT
2009
Springer
130views GIS» more  COSIT 2009»
15 years 4 months ago
Case-Based Reasoning for Eliciting the Evolution of Geospatial Objects
Abstract.Abstract.Abstract. This paper proposes an automated approach for describing how geospatial objects evolve. We consider geospatial objects whose boundaries and properties c...
Joice Seleme Mota, Gilberto Câmara, Maria Is...
CCECE
2009
IEEE
15 years 4 months ago
Inverse data transformation for change detection in wind turbine diagnostics
A complex system is expected to show different nominal behaviors under different conditions, and the deviation over time from these nominal behaviors is an indicator of potential ...
Yanjun Yan, Lisa Ann Osadciw, Glen Benson, Eric Wh...
85
Voted
NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 1 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
MLMI
2004
Springer
15 years 3 months ago
Mapping from Speech to Images Using Continuous State Space Models
In this paper a system that transforms speech waveforms to animated faces are proposed. The system relies on continuous state space models to perform the mapping, this makes it po...
Tue Lehn-Schiøler, Lars Kai Hansen, Jan Lar...
VC
2008
143views more  VC 2008»
14 years 9 months ago
Example-driven animation synthesis
We introduce an easy and intuitive approach to create animations by assembling existing animations. Using our system, the user needs only to simply scribble regions of interest and...
Yu-Shuen Wang, Tong-Yee Lee