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» Manifold-adaptive dimension estimation
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ICASSP
2009
IEEE
15 years 6 months ago
Distributed adaptive estimation of correlated node-specific signals in a fully connected sensor network
We introduce a distributed adaptive estimation algorithm operating in an ideal fully connected sensor network. The algorithm estimates node-specific signals at each node based on...
Alexander Bertrand, Marc Moonen
ICANNGA
2007
Springer
141views Algorithms» more  ICANNGA 2007»
15 years 6 months ago
Estimates of Approximation Rates by Gaussian Radial-Basis Functions
Rates of approximation by networks with Gaussian RBFs with varying widths are investigated. For certain smooth functions, upper bounds are derived in terms of a Sobolev-equivalent ...
Paul C. Kainen, Vera Kurková, Marcello Sang...
IWANN
2005
Springer
15 years 5 months ago
Manifold Constrained Finite Gaussian Mixtures
In many practical applications, the data is organized along a manifold of lower dimension than the dimension of the embedding space. This additional information can be used when le...
Cédric Archambeau, Michel Verleysen
NIPS
2004
15 years 1 months ago
Maximum Likelihood Estimation of Intrinsic Dimension
We propose a new method for estimating intrinsic dimension of a dataset derived by applying the principle of maximum likelihood to the distances between close neighbors. We derive...
Elizaveta Levina, Peter J. Bickel
IJBC
2010
132views more  IJBC 2010»
14 years 6 months ago
Construction of Fractal Interpolation Surfaces on Rectangular Grids
We present a general method of generating continuous fractal interpolation surfaces by iterated function systems on an arbitrary data set over rectangular grids and estimate their...
Wolfgang Metzler, Chol Hui Yun