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DSMML
2004
Springer
15 years 6 months ago
Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
Peter Sollich
80
Voted
IJCAI
2007
15 years 2 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...
102
Voted
TASLP
2011
14 years 7 months ago
Predicting Preference Judgments of Individual Normal and Hearing-Impaired Listeners With Gaussian Processes
Abstract—A probabilistic kernel approach to pairwise preference learning based on Gaussian processes is applied to predict preference judgments for sound quality degradation mech...
Perry Groot, Tom Heskes, Tjeerd Dijkstra, James M....
110
Voted
CVPR
2011
IEEE
14 years 4 months ago
Visual textures as realizations of multivariate log-Gaussian Cox processes
In this paper, we address invariant keypoint-based texture characterization and recognition. Viewing keypoint sets associated with visual textures as realizations of point process...
Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher
119
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Multiple speaker tracking using a microphone array by combining auditory processing and a gaussian mixture cardinalized probabil
Tracking speakers is an important application in smart environments. Acoustic tracking using microphone arrays is a challenging task due to two major reasons: On the one hand, mul...
Axel Plinge, Daniel Hauschildt, Marius H. Hennecke...