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» Hierarchical Gaussian Process Regression

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IJCNN
2006
IEEE

159views Neural Networks» more IJCNN 2006»

Greedy forward selection algorithms to Sparse Gaussian Process Regression

14 years 1 months ago

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Abstract— This paper considers the basis vector selection issue invloved in forward selection algorithms to sparse Gaussian Process Regression (GPR). Firstly, we re-examine a pre...

Ping Sun, Xin Yao

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ECCV
2008
Springer

186views Computer Vision» more ECCV 2008»

Online Sparse Matrix Gaussian Process Regression and Vision Applications

14 years 9 months ago

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We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...

Ananth Ranganathan, Ming-Hsuan Yang

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NIPS
2008

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Sparse Convolved Gaussian Processes for Multi-output Regression

13 years 9 months ago

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We present a sparse approximation approach for dependent output Gaussian processes (GP). Employing a latent function framework, we apply the convolution process formalism to estab...

Mauricio Alvarez, Neil D. Lawrence

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UAI
2008

198views Artificial Intelligence» more UAI 2008»

Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression

13 years 9 months ago

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We propose a variable decomposition algorithm

Liefeng Bo, Cristian Sminchisescu

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