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» Modelling Smooth Paths Using Gaussian Processes
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ICRA
2007
IEEE
155views Robotics» more  ICRA 2007»
14 years 5 months ago
Value Function Approximation on Non-Linear Manifolds for Robot Motor Control
— The least squares approach works efficiently in value function approximation, given appropriate basis functions. Because of its smoothness, the Gaussian kernel is a popular an...
Masashi Sugiyama, Hirotaka Hachiya, Christopher To...
ACCV
2006
Springer
14 years 5 months ago
Statistical Shape Models Using Elastic-String Representations
Abstract. To develop statistical models for shapes, we utilize an elastic string representation where curves (denoting shapes) can bend and locally stretch (or compress) to optimal...
Anuj Srivastava, Aastha Jain, Shantanu H. Joshi, D...
ICASSP
2009
IEEE
14 years 2 months ago
Principal component analysis in decomposable Gaussian graphical models
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
Ami Wiesel, Alfred O. Hero III
ICIP
2006
IEEE
15 years 19 days ago
Laplace Random Vectors, Gaussian Noise, and the Generalized Incomplete Gamma Function
Wavelet domain statistical modeling of images has focused on modeling the peaked heavy-tailed behavior of the marginal distribution and on modeling the dependencies between coeffi...
Ivan W. Selesnick
TPDS
2002
117views more  TPDS 2002»
13 years 10 months ago
Gemini: An Optical Interconnection Network for Parallel Processing
Abstract--The Gemini interconnect is a dual technology (optical and electrical) interconnection network designed for use in tightlycoupled multicomputer systems. It consists of a c...
Roger D. Chamberlain, Mark A. Franklin, Ch'ng Shi ...