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ICDCS
2007
IEEE
15 years 10 months ago
Distributed Density Estimation Using Non-parametric Statistics
Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
Yusuo Hu, Hua Chen, Jian-Guang Lou, Jiang Li
COLING
2008
15 years 5 months ago
Random Restarts in Minimum Error Rate Training for Statistical Machine Translation
Och's (2003) minimum error rate training (MERT) procedure is the most commonly used method for training feature weights in statistical machine translation (SMT) models. The u...
Robert C. Moore, Chris Quirk
FGR
2000
IEEE
162views Biometrics» more  FGR 2000»
15 years 7 months ago
Person Tracking in Real-World Scenarios Using Statistical Methods
This paper presents a novel approach to robust and flexible person tracking using an algorithm that combines two powerful stochastic modeling techniques: The first one is the tech...
Gerhard Rigoll, Stefan Eickeler, Stefan Mülle...
TSE
2002
83views more  TSE 2002»
15 years 3 months ago
Optimum Control Limits for Employing Statistical Process Control in Software Process
There is an increased interest in using control charts for monitoring and improving software processes, particularly quality control processes like reviews and testing. In a contro...
Pankaj Jalote, Ashish Saxena
ICC
2007
IEEE
107views Communications» more  ICC 2007»
15 years 7 months ago
A New Multiple Scatterer Model for Fixed Indoor Wireless Communication Channels
A new statistical channel model known as the Multiple Scatterer Channel (MSC) is developed to capture the time variations of both line-of-sight (LOS) and non-line-of-sight (NLOS) f...
Paisarn Sonthikorn, Ozan K. Tonguz