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» Motion Processing using Variable Harmonic Components
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DAGM
2010
Springer
13 years 9 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
PAMI
2008
182views more  PAMI 2008»
13 years 8 months ago
Gaussian Process Dynamical Models for Human Motion
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
ISBI
2006
IEEE
14 years 9 months ago
Variance controlled shear stiffness images for MRE data
In the Magnetic Resonance Elastography experiment we consider a harmonically oscillating mechanical force applied to the boundary surface of a phantom and synchronized with the mo...
Joyce R. McLaughlin, Daniel Renzi, Jeong-Rock Yoon...
HUMO
2007
Springer
14 years 2 months ago
Modeling Human Locomotion with Topologically Constrained Latent Variable Models
Abstract. Learned, activity-specific motion models are useful for human pose and motion estimation. Nevertheless, while the use of activityspecific models simplifies monocular t...
Raquel Urtasun, David J. Fleet, Neil D. Lawrence
AVSS
2007
IEEE
14 years 3 months ago
Recovering the linguistic components of the manual signs in American Sign Language
Manual signs in American Sign Language (ASL) are constructed using three building blocks – handshape, motion, and place of articulations. Only when these three are successfully ...
Liya Ding, Aleix M. Martínez