Sciweavers

567 search results - page 5 / 114
» Gaussian Process modeling of large scale terrain
Sort
View
ICDE
2006
IEEE
160views Database» more  ICDE 2006»
15 years 11 months ago
Surface k-NN Query Processing
A k-NN query finds the k nearest-neighbors of a given point from a point database. When it is sufficient to measure object distance using the Euclidian distance, the key to effici...
Ke Deng, Xiaofang Zhou, Heng Tao Shen, Kai Xu 0003...
NIPS
2000
14 years 11 months ago
Sparse Representation for Gaussian Process Models
We develop an approach for a sparse representation for Gaussian Process (GP) models in order to overcome the limitations of GPs caused by large data sets. The method is based on a...
Lehel Csató, Manfred Opper
102
Voted
TIP
2008
163views more  TIP 2008»
14 years 9 months ago
Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures
We develop a statistical model to describe the spatially varying behavior of local neighborhoods of coefficients in a multiscale image representation. Neighborhoods are modeled as ...
David K. Hammond, Eero P. Simoncelli
ICSE
2003
IEEE-ACM
15 years 2 months ago
An Analysis of the Fault Correction Process in a Large-Scale SDL Production Model
Improvements in the software development process depend on our ability to collect and analyze data drawn from various phases of the development life cycle. Our design metrics rese...
Dolores M. Zage, Wayne M. Zage
ICML
2009
IEEE
15 years 10 months ago
Convex variational Bayesian inference for large scale generalized linear models
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Hannes Nickisch, Matthias W. Seeger