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» Load estimation and control using learned dynamics models
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MLMI
2007
Springer
14 years 1 months ago
Gaussian Process Latent Variable Models for Human Pose Estimation
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrenc...
AUTOMATICA
2007
103views more  AUTOMATICA 2007»
13 years 7 months ago
Image based visual servo control for a class of aerial robotic systems
An image-based strategy for visual servo control of a class of dynamic systems is proposed. The class of systems considered includes dynamic models of unmanned aerial vehicles cap...
Tarek Hamel, Robert E. Mahony
CRV
2008
IEEE
295views Robotics» more  CRV 2008»
14 years 2 months ago
3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Kooksang Moon, Vladimir Pavlovic
IPPS
2008
IEEE
14 years 2 months ago
CoSL: A coordinated statistical learning approach to measuring the capacity of multi-tier websites
Website capacity determination is crucial to measurement-based access control, because it determines when to turn away excessive client requests to guarantee consistent service qu...
Jia Rao, Cheng-Zhong Xu
NECO
2002
104views more  NECO 2002»
13 years 7 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen