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» Estimating random variables from random sparse observations
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DAWAK
2010
Springer
14 years 10 months ago
Using Transitivity to Increase the Accuracy of Sample-Based Pearson Correlation Coefficients
Abstract. Pearson product-moment correlation coefficients are a wellpracticed quantification of linear dependence seen across many fields. When calculating a sample-based correlati...
Taylor Phillips, Chris GauthierDickey, Ramki Thuri...

Publication
1851views
16 years 10 months ago
Cerebrovascular Segmentation from TOF Using Stochastic Models
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna, Aly A. Farag, Stephen Hushek, T...
WSC
2000
14 years 11 months ago
Simulating GI/GI/1 queues and insurance risk processes with subexponential distributions
This paper deals with estimating small tail probabilities of the steady-state waiting time in a GI/GI/1 queue with heavy-tailed (subexponential) service times. The problem of esti...
Nam Kyoo Boots, Perwez Shahabuddin
WOWMOM
2005
ACM
115views Multimedia» more  WOWMOM 2005»
15 years 3 months ago
Precise Distributed Localization Algorithms for Wireless Networks
We propose in this paper reliable and precise distributed localization algorithms for wireless networks: iterative multidimensional scaling (IT-MDS) and simulated annealing multid...
Saad Biaz, Yiming Ji
72
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ICIP
2010
IEEE
14 years 7 months ago
Compressed sensing for aperture synthesis imaging
The theory of compressed sensing has a natural application in interferometric aperture synthesis. As in many real-world applications, however, the assumption of random sampling, w...
Stephan Wenger, Soheil Darabi, Pradeep Sen, Karl-H...