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» On Iterative Regularization and Its Application
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ECCV
2000
Springer
16 years 3 months ago
Model-Based Initialisation for Segmentation
The initialisation of segmentation methods aiming at the localisation of biological structures in medical imagery is frequently regarded as a given precondition. In practice, howev...
Christian Brechbühler, Gábor Szé...
TSP
2008
149views more  TSP 2008»
15 years 1 months ago
Decentralized Quantized Kalman Filtering With Scalable Communication Cost
Estimation and tracking of generally nonstationary Markov processes is of paramount importance for applications such as localization and navigation. In this context, ad hoc wireles...
Eric J. Msechu, Stergios I. Roumeliotis, Alejandro...
137
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JMLR
2002
111views more  JMLR 2002»
15 years 1 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
CIKM
2010
Springer
15 years 16 days ago
Who should I cite: learning literature search models from citation behavior
Scientists depend on literature search to find prior work that is relevant to their research ideas. We introduce a retrieval model for literature search that incorporates a wide ...
Steven Bethard, Dan Jurafsky
EUROPAR
2011
Springer
14 years 1 months ago
A Bit-Compatible Parallelization for ILU(k) Preconditioning
Abstract. ILU(k) is a commonly used preconditioner for iterative linear solvers for sparse, non-symmetric systems. It is often preferred for the sake of its stability. We present T...
Xin Dong 0004, Gene Cooperman