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NIPS
2004
13 years 9 months ago
Using the Equivalent Kernel to Understand Gaussian Process Regression
The equivalent kernel [1] is a way of understanding how Gaussian process regression works for large sample sizes based on a continuum limit. In this paper we show (1) how to appro...
Peter Sollich, Christopher K. I. Williams
VMV
2000
119views Visualization» more  VMV 2000»
13 years 9 months ago
Orientation Estimation Based on Weighted Projection onto Quadratic Polynomials
Essentially all Computer Vision strategies require initial computation of orientation structure or motion estimation. Although much work has been invested in this subfield, method...
Gunnar Farnebäck
WCE
2007
13 years 8 months ago
MR Image Reconstruction from Pseudo-Hex Lattice Sampling Patterns Using Separable FFT
Abstract— Common MRI sampling patterns in kspace, such as spiral trajectories, have nonuniform density and do not lie on a rectangular grid. We propose mapping the sampled data t...
Jae-Ho Kim, Fred L. Fontaine
AUTOMATICA
2008
88views more  AUTOMATICA 2008»
13 years 7 months ago
Parameter ranking by orthogonalization - Applied to nonlinear mechanistic models
The paper addresses methods for parameter sensitivity analysis in a large, nonlinear, mechanistic model which is to be run in an online estimation scheme. The parameter sensitivit...
Berit Floor Lund, Bjarne A. Foss
AAECC
2006
Springer
133views Algorithms» more  AAECC 2006»
13 years 7 months ago
On the low hamming weight discrete logarithm problem for nonadjacent representations
So-called nonadjacent representations are commonly used in elliptic curve cryptography to facilitate computing a scalar multiple of a point on an elliptic curve. A nonadjacent rep...
James A. Muir, Douglas R. Stinson