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DCC
2011
IEEE
8 years 9 months ago
Scalar Quantization for Relative Error
Quantizers for probabilistic sources are usually optimized for mean-squared error. In many applications, maintaining low relative error is a more suitable objective. This measure ...
John Z. Sun, Vivek K. Goyal
QUESTA
2007
117views more  QUESTA 2007»
9 years 1 months ago
Estimating tail probabilities of heavy tailed distributions with asymptotically zero relative error
Efficient estimation of tail probabilities involving heavy tailed random variables is amongst the most challenging problems in Monte-Carlo simulation. In the last few years, appli...
Sandeep Juneja
KAIS
2000
87views more  KAIS 2000»
9 years 2 months ago
An Index Structure for Data Mining and Clustering
Abstract. In this paper we present an index structure, called MetricMap, that takes a set of objects and a distance metric and then maps those objects to a k-dimensional space in s...
Xiong Wang, Jason Tsong-Li Wang, King-Ip Lin, Denn...
MASCOTS
2008
9 years 3 months ago
Evaluating the Effectiveness of Information Extraction in Real-World Storage Management
As storage deployments within enterprises continue to grow, there is an increasing need to simplify and automate. Existing tools for automation rely on extracting information in t...
Aameek Singh, Sandeep Uttamchandani, Yin Wang
STACS
2000
Springer
9 years 5 months ago
Multi-linearity Self-Testing with Relative Error
We investigate self-testing programs with relative error by allowing error terms proportional to the function to be computed. Until now, in numerical computation, error terms were ...
Frédéric Magniez
GLOBECOM
2007
IEEE
9 years 8 months ago
Control Estimation Error of Sampling Method for Passive Measurement
1 — Sampling is increasingly utilized by passive measurement systems to save the resources consumption. However, the widely adopted static linear sampling selects packets with th...
Chengchen Hu, Sheng Wang, Jia Tian, Bin Liu
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