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» Choosing an Accurate Network Model using Domain Analysis
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TPDS
2010
159views more  TPDS 2010»
13 years 7 months ago
Exploring In-Situ Sensing Irregularity in Wireless Sensor Networks
The circular sensing model has been widely used to estimate performance of sensing applications in existing analysis and simulations. While this model provides valuable high-level...
Joengmin Hwang, Tian He, Yongdae Kim
CVPR
2008
IEEE
14 years 11 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji
IJCAI
2003
13 years 10 months ago
Integrating Background Knowledge Into Text Classification
We present a description of three different algorithms that use background knowledge to improve text classifiers. One uses the background knowledge as an index into the set of tra...
Sarah Zelikovitz, Haym Hirsh
PPOPP
1997
ACM
14 years 1 months ago
LoPC: Modeling Contention in Parallel Algorithms
Parallel algorithm designers need computational models that take first order system costs into account, but are also simple enough to use in practice. This paper introduces the L...
Matthew Frank, Anant Agarwal, Mary K. Vernon
ICDAR
2003
IEEE
14 years 2 months ago
Learning the lexicon from raw texts for open-vocabulary Korean word recognition
In this paper, we propose a novel method of building a language model for open-vocabulary Korean word recognition. Due to the complex morphology of Korean, it is inappropriate to ...
Sungho Ryu, Jin Hyung Kim