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» Gaussian Process modeling of large scale terrain
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CVIU
2007
143views more  CVIU 2007»
14 years 9 months ago
Visual terrain mapping for Mars exploration
One goal for future Mars missions is for a rover to be able to navigate autonomously to science targets not visible to the rover, but seen in orbital or descent images. This can b...
Clark F. Olson, Larry H. Matthies, John R. Wright,...
105
Voted
IGARSS
2009
14 years 7 months ago
Spatially Adaptive Classification of Hyperspectral Data with Gaussian Processes
Automated classification of land cover types based on hyperspectral imagery often involves a large geographical area, but class labels are available for only small portions of the...
Goo Jun, Joydeep Ghosh
ICANN
2011
Springer
14 years 1 months ago
Learning from Multiple Annotators with Gaussian Processes
Abstract. In many supervised learning tasks it can be costly or infeasible to obtain objective, reliable labels. We may, however, be able to obtain a large number of subjective, po...
Perry Groot, Adriana Birlutiu, Tom Heskes
ICASSP
2011
IEEE
14 years 1 months ago
Distributed training of large scale exponential language models
Shrinkage-based exponential language models, such as the recently introduced Model M, have provided significant gains over a range of tasks [1]. Training such models requires a l...
Abhinav Sethy, Stanley F. Chen, Bhuvana Ramabhadra...
ICIP
2001
IEEE
15 years 11 months ago
(Automatic) target detection in synthetic aperture radar imagery via terrain recognition
Surveillance of large areas of the Earths surface is often undertaken with low resolution synthetic aperture radar (SAR) imagery from either a satellite or a plane. There is a nee...
Rupert Paget, John Homer, Donald Crisp