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ICASSP
2009
IEEE
16 years 1 months ago
Compressive sampling of pulse trains: Spread the spectrum!
In this paper we consider the problem of sampling far below the Nyquist rate signals that are sparse linear superpositions of shifts of a known, potentially wide-band, pulse. This...
Farid M. Naini, Rémi Gribonval, Laurent Jac...
DSMML
2004
Springer
15 years 11 months ago
Extensions of the Informative Vector Machine
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
Neil D. Lawrence, John C. Platt, Michael I. Jordan
CSDA
2010
208views more  CSDA 2010»
15 years 6 months ago
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
Raffaele Argiento, Alessandra Guglielmi, Antonio P...
SIAMJO
2008
105views more  SIAMJO 2008»
15 years 6 months ago
On Stability of Multistage Stochastic Programs
We study the quantitative stability of linear multistage stochastic programs under perturbations of the underlying stochastic processes. It is shown that the optimal values behave...
Christian Küchler
160
Voted
CAGD
2000
62views more  CAGD 2000»
15 years 6 months ago
Volume morphing and rendering - An integrated approach
In this paper, we first introduce a 3D morphing method for landmark-based volume deformation, using various scattered data interpolation schemes. Qualitative and speed comparisons...
Shiaofen Fang, Rajagopalan Srinivasan, Raghu Ragha...