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» Using model knowledge for learning inverse dynamics
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JBI
2008
127views Bioinformatics» more  JBI 2008»
13 years 8 months ago
Infrastructure for dynamic knowledge integration - Automated biomedical ontology extension using textual resources
We present a novel ontology integration technique that explicitly takes the dynamics and data-intensiveness of e-health and biomedicine application domains into account. Changing ...
Vít Novácek, Loredana Laera, Siegfri...
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
13 years 9 months ago
Inverse modeling for open boundary conditions in channel network
Abstract-- An inverse modeling problem for systems governed by first-order, hyperbolic partial differential equations subject to periodic forcing is investigated. The problem is de...
Qingfang Wu, Mohammad Rafiee, Andrew Tinka, Alexan...
HICSS
2002
IEEE
119views Biometrics» more  HICSS 2002»
14 years 1 months ago
An Inverse-Quantile Function Approach for Modeling Electricity Price
We propose a class of alternative stochastic volatility models for electricity prices using the quantile function modeling approach. Specifically, we fit marginal distributions ...
Shi-Jie Deng, Wenjiang Jiang
NOLISP
2007
Springer
14 years 2 months ago
Trajectory Mixture Density Networks with Multiple Mixtures for Acoustic-Articulatory Inversion
We have previously proposed a trajectory model which is based on a mixture density network (MDN) trained with target variables augmented with dynamic features together with an algo...
Korin Richmond
ICCV
2011
IEEE
13 years 7 days ago
Outdoor Human Motion Capture using Inverse Kinematics and von Mises-Fisher Sampling
Human motion capturing (HMC) from multiview image sequences constitutes an extremely difficult problem due to depth and orientation ambiguities and the high dimensionality of the s...
Gerard Pons-Moll, Andreas Baak, Juergen Gall, Laur...