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WSC
2000
13 years 9 months ago
Variance reduction techniques for value-at-risk with heavy-tailed risk factors
The calculation of value-at-risk (VAR) for large portfolios of complex instruments is among the most demanding and widespread computational challenges facing the financial industr...
Paul Glasserman, Philip Heidelberger, Perwez Shaha...
IWCMC
2010
ACM
13 years 9 months ago
On the use of random neural networks for traffic matrix estimation in large-scale IP networks
Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...
Pedro Casas, Sandrine Vaton
DAMON
2008
Springer
13 years 9 months ago
Fast scans and joins using flash drives
As access times to main memory and disks continue to diverge, faster non-volatile storage technologies become more attractive for speeding up data analysis applications. NAND flas...
Mehul A. Shah, Stavros Harizopoulos, Janet L. Wien...
ICIP
2005
IEEE
14 years 9 months ago
Fast trifocal tensor estimation using virtual parallax
We present a computationally efficient method for estimating the trifocal tensor corresponding to three images acquired by a freely moving camera. The proposed method represents p...
Manolis I. A. Lourakis, Antonis A. Argyros
CORR
2010
Springer
133views Education» more  CORR 2010»
13 years 7 months ago
Nonuniform Sparse Recovery with Gaussian Matrices
Compressive sensing predicts that sufficiently sparse vectors can be recovered from highly incomplete information. Efficient recovery methods such as 1-minimization find the sparse...
Ulas Ayaz, Holger Rauhut