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BILDMED
2008
15 years 8 months ago
Adaptive Threshold Masking
Image bias is a usual phenomenon in MR imaging when using surface coils. It complicates the interpretation as well as the algorithmic postprocessing of such data. We introduce a bi...
Manuel André Gaudnek, Andreas Hess, Klaus O...
NIPS
2004
15 years 8 months ago
Boosting on Manifolds: Adaptive Regularization of Base Classifiers
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
Balázs Kégl, Ligen Wang
NIPS
2001
15 years 8 months ago
Adaptive Sparseness Using Jeffreys Prior
In this paper we introduce a new sparseness inducing prior which does not involve any (hyper)parameters that need to be adjusted or estimated. Although other applications are poss...
Mário A. T. Figueiredo
ICIP
2009
IEEE
15 years 4 months ago
Colour saliency-based parameter optimisation for adaptive colour segmentation
In this paper we present a parameter optimisation procedure that is designed to automatically initialise the number of clusters and the initial colour prototypes required by data ...
Dana Elena Ilea, Paul F. Whelan
CPHYSICS
2011
200views Education» more  CPHYSICS 2011»
15 years 1 months ago
Adaptable Particle-in-Cell algorithms for graphical processing units
We developed new parameterized Particle-in-Cell algorithms and data structures for emerging multi-core and many-core architectures. Four parameters allow tuning of this PIC code t...
Viktor K. Decyk, Tajendra V. Singh