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119
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IPSN
2005
Springer
15 years 6 months ago
Lossy network correlated data gathering with high-resolution coding
— We consider a sensor network measuring correlated data, where the task is to gather all data from the network nodes to a sink. We consider the case where data at nodes is lossy...
Razvan Cristescu, Baltasar Beferull-Lozano
124
Voted
TITB
2008
110views more  TITB 2008»
15 years 17 days ago
Context-Sensitive Correlation of Implicitly Related Data: An Episode Creation Methodology
Episode creation is the task of classifying medical events and related clinical data to high-level concepts, such as diseases. Challenges in episode creation result in part because...
Roderick Y. Son, Ricky K. Taira, Hooshang Kangarlo...
102
Voted
MICRO
1999
IEEE
123views Hardware» more  MICRO 1999»
15 years 5 months ago
Improving Branch Predictors by Correlating on Data Values
Branch predictors typically use combinations of branch PC bits and branch histories to make predictions. Recent improvements in branch predictors have come from reducing the effec...
Timothy H. Heil, Zak Smith, James E. Smith
79
Voted
ICONIP
2007
15 years 2 months ago
A Kolmogorov-Smirnov Correlation-Based Filter for Microarray Data
Abstract. A filter algorithm using F-measure has been used with feature redundancy removal based on the Kolmogorov-Smirnov (KS) test for rough equality of statistical distribution...
Jacek Biesiada, Wlodzislaw Duch
103
Voted
FUZZIEEE
2007
IEEE
15 years 7 months ago
Self-Fuzzification Method According to Typicality Correlation for Classification on Tiny Data Sets
— This article presents a self-fuzzification method to enhance the settings of a Fuzzy Reasoning Classification adapted to the automated inspection of wooden boards. The supervis...
Emmanuel Schmitt, Vincent Bombardier, Patrick Char...