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» Efficient and Flexible Value Sampling
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ICC
2007
IEEE
132views Communications» more  ICC 2007»
15 years 1 months ago
Supporting Bulk Data Transfers of High-End Applications with Guaranteed Completion Time
In high-end grid networks, distributed resources (scientific instruments, CPUs, storages, etc.) are interconnected to support computing-intensive and data-intensive applications, w...
Bin Bin Chen, Pascale Vicat-Blanc Primet
VLDB
2005
ACM
115views Database» more  VLDB 2005»
15 years 3 months ago
KLEE: A Framework for Distributed Top-k Query Algorithms
This paper addresses the efficient processing of top-k queries in wide-area distributed data repositories where the index lists for the attribute values (or text terms) of a query...
Sebastian Michel, Peter Triantafillou, Gerhard Wei...
PICS
2001
14 years 11 months ago
Psychometric Scaling: Avoiding the Pitfalls and Hazards
Psychometric scaling is widely used in the imaging filed for obtaining scale values of image quality and its attributes. Although widely used, scaling has its pitfalls and hazards...
Peter G. Engeldrum
IJCV
2008
172views more  IJCV 2008»
14 years 9 months ago
Nonparametric Bayesian Image Segmentation
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
Peter Orbanz, Joachim M. Buhmann
CORR
2010
Springer
145views Education» more  CORR 2010»
14 years 7 months ago
Orthogonal symmetric Toeplitz matrices for compressed sensing: Statistical isometry property
Recently, the statistical restricted isometry property (RIP) has been formulated to analyze the performance of deterministic sampling matrices for compressed sensing. In this paper...
Kezhi Li, Lu Gan, Cong Ling