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» Gaussian Process Dynamical Models for Human Motion
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ESSMAC
2003
Springer
15 years 5 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith
ECCV
2010
Springer
15 years 5 months ago
Dynamic Color Flow: A Motion-Adaptive Color Model for Object Segmentation in Video
Accurately modeling object colors, and features in general, plays a critical role in video segmentation and analysis. Commonly used color models, such as global Gaussian mixtures, ...
ICIP
2001
IEEE
16 years 1 months ago
Multiresolution Gaussian mixture models for visual motion estimation
This paper introduces a new generalisation of scale-space and pyramids, which combines statistical modelling with a spatial representation. The representation uses the familiar co...
Roland Wilson, Andrew Calway
NAR
2006
98views more  NAR 2006»
14 years 11 months ago
oGNM: online computation of structural dynamics using the Gaussian Network Model
An assessment of the equilibrium dynamics of biomolecular systems, and in particular their most cooperativefluctuationsaccessibleundernativestate conditions, is a first step towar...
Lee-Wei Yang, A. J. Rader, Xiong Liu, Christopher ...
CVPR
2000
IEEE
16 years 1 months ago
Impact of Dynamic Model Learning on Classification of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
Vladimir Pavlovic, James M. Rehg