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IJCAI
2007
13 years 6 months ago
Automatic Gait Optimization with Gaussian Process Regression
Gait optimization is a basic yet challenging problem for both quadrupedal and bipedal robots. Although techniques for automating the process exist, most involve local function opt...
Daniel J. Lizotte, Tao Wang, Michael H. Bowling, D...
IOR
2008
104views more  IOR 2008»
13 years 4 months ago
Arrival Rate Approximation by Nonnegative Cubic Splines
Estimating the arrival rate function of a non-homogeneous Poisson process based on observed arrival data is a problem naturally arising in many applications. Cubic spline function...
Farid Alizadeh, Jonathan Eckstein, Nilay Noyan, G&...
EUROGP
2009
Springer
101views Optimization» more  EUROGP 2009»
13 years 9 months ago
Exploring Grammatical Evolution for Horse Gait Optimisation
Physics-based animal animations require data for realistic motion. This data is expensive to acquire through motion capture and inaccurate when estimated by an artist. Grammatical ...
James E. Murphy, Michael O'Neill, Hamish Carr
ICCV
2003
IEEE
13 years 10 months ago
Markov-Based Failure Prediction for Human Motion Analysis
This paper presents a new method of detecting and predicting motion tracking failures with applications in human motion and gait analysis. We define a tracking failure as an event...
Shiloh L. Dockstader, Nikita S. Imennov, A. Murat ...
TSMC
2010
12 years 11 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris