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EMNLP
2009
15 years 1 months ago
Stream-based Randomised Language Models for SMT
Randomised techniques allow very big language models to be represented succinctly. However, being batch-based they are unsuitable for modelling an unbounded stream of language whi...
Abby Levenberg, Miles Osborne
172
Voted
DMIN
2008
241views Data Mining» more  DMIN 2008»
15 years 5 months ago
Leakage Detection by Adaptive Process Modeling
Abstract-- In this paper, we propose an adaptive linear approach for time series modeling and steam line leakage detection. Weighted recursive least squares (WRLS) method is used f...
Jaakko Talonen, Miki Sirola, Jukka Parviainen
111
Voted
PERCOM
2004
ACM
16 years 3 months ago
Dynamic World Models from Ray-tracing
Context-aware computing systems demand an accurate and up-to-date world model which computationally represents the environment they oversee. Systems to date tend to have small-sca...
Robert K. Harle, Andy Hopper
ICC
2008
IEEE
106views Communications» more  ICC 2008»
15 years 10 months ago
Modular Model Based Performance Evaluation of a DiffServ Network Supporting Assured Forwarding PHB
—The paper presents an analytical modular model of a DiffServ network supporting Assured Forwarding PHB. Individual DiffServ network elements such as meter/markers and droppers a...
Rafal Stankiewicz, Andrzej Jajszczyk
ICPR
2002
IEEE
15 years 8 months ago
Recognition of Lung Nodules from X-ray CT Images Using 3D Markov Random Field Models
In this paper, we propose a new recognition method of lung nodules from X-ray CT images using 3D Markov random field(MRF) models. Pathological shadow candidates are detected by a...
Hotaka Takizawa, Shinji Yamamoto, Tohru Matsumoto,...