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» New Algorithms for Statistical Analysis of Interval Data
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SYNTHESE
2008
84views more  SYNTHESE 2008»
14 years 11 months ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein
CVPR
2005
IEEE
16 years 1 months ago
Graph Embedding: A General Framework for Dimensionality Reduction
In the last decades, a large family of algorithms supervised or unsupervised; stemming from statistic or geometry theory have been proposed to provide different solutions to the p...
Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zha...
INFOCOM
2006
IEEE
15 years 5 months ago
Dedicated Channels as an Optimal Network Support for Effective Transfer of Massive Data
— Instantaneous Fair Sharing (IFS) is a traditional network ideal prescribing to share the network capacity among competing applications fairly during any infinitesimal time int...
Sergey Gorinsky, Nageswara S. V. Rao
ICIP
2004
IEEE
16 years 1 months ago
Simplified digital holographic reconstruction using statistical methods
For reconstructing a complex object wavefront from digital holograms, we propose a new penalized-likelihood approach based on the measurement statistics and edge-preserving regula...
Jeffrey A. Fessler, Saowapak Sotthivirat
JVCIR
2010
162views more  JVCIR 2010»
14 years 10 months ago
Tetrolet transform: A new adaptive Haar wavelet algorithm for sparse image representation
In order to get an efficient image representation we introduce a new adaptive Haar wavelet transform, called Tetrolet Transform. Tetrolets are Haar-type wavelets whose supports ar...
Jens Krommweh