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CCA
2000
Springer
13 years 8 months ago
Effectivity of Regular Spaces
Abstract. General methods of investigating effectivity on regular Hausdorff (T3) spaces is considered. It is shown that there exists a functor from a category of T3 spaces into a c...
Jens Blanck
TNN
1998
100views more  TNN 1998»
13 years 4 months ago
A dynamical system perspective of structural learning with forgetting
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
D. A. Miller, J. M. Zurada
WSDM
2009
ACM
140views Data Mining» more  WSDM 2009»
13 years 11 months ago
Effective latent space graph-based re-ranking model with global consistency
Recently the re-ranking algorithms have been quite popular for web search and data mining. However, one of the issues is that those algorithms treat the content and link informati...
Hongbo Deng, Michael R. Lyu, Irwin King
ISBI
2004
IEEE
14 years 5 months ago
On the Regularization of SENSE and Space-RIP in Parallel MR Imaging
Parallel imaging methods provide accelerated multiple coil MR image acquisitions via reconstruction of sub-sampled kspace data. Currently, analytic comparison between different re...
William Scott Hoge, Bruno Madore, Walid E. Kyriako...
TSP
2008
116views more  TSP 2008»
13 years 4 months ago
Nonideal Sampling and Regularization Theory
Shannon's sampling theory and its variants provide effective solutions to the problem of reconstructing a signal from its samples in some "shift-invariant" space, wh...
Sathish Ramani, Dimitri Van De Ville, Thierry Blu,...