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JMLR
2010
141views more  JMLR 2010»
14 years 4 months ago
Hierarchical Gaussian Process Regression
We address an approximation method for Gaussian process (GP) regression, where we approximate covariance by a block matrix such that diagonal blocks are calculated exactly while o...
Sunho Park, Seungjin Choi
TSP
2010
14 years 4 months ago
Joint nonlinear channel equalization and soft LDPC decoding with Gaussian processes
In this paper, we introduce a new approach for nonlinear equalization based on Gaussian processes for classification (GPC). We propose to measure the performance of this equalizer ...
Pablo M. Olmos, Juan José Murillo-Fuentes, ...
ICCV
2011
IEEE
13 years 9 months ago
Gaussian Process Regression Flow for Analysis of Motion Trajectories
Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new r...
Kihwan Kim, Dongryeol Lee, Irfan Essa
NIPS
2007
14 years 11 months ago
Robust Regression with Twinned Gaussian Processes
We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
Andrew Naish-Guzman, Sean B. Holden
IJCNN
2006
IEEE
15 years 3 months ago
Greedy forward selection algorithms to Sparse Gaussian Process Regression
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