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» Results Merging Algorithm Using Multiple Regression Models
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IJCNLP
2005
Springer
15 years 8 months ago
Using Multiple Discriminant Analysis Approach for Linear Text Segmentation
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...
Jingbo Zhu, Na Ye, Xinzhi Chang, Wenliang Chen, Be...
119
Voted
BMCBI
2010
105views more  BMCBI 2010»
15 years 2 months ago
Effects of scanning sensitivity and multiple scan algorithms on microarray data quality
Background: Maximizing the utility of DNA microarray data requires optimization of data acquisition through selection of an appropriate scanner setting. To increase the amount of ...
Andrew Williams, Errol M. Thomson
ICC
2007
IEEE
104views Communications» more  ICC 2007»
15 years 8 months ago
A Novel Graph Model for Maximum Survivability in Mesh Networks under Multiple Generic Risks
— This paper investigates the path protection problem in mesh networks under multiple generic risks. Disjoint logical links may fail simultaneously if they share the same compone...
Qingya She, Xiaodong Huang, Jason P. Jue
DSD
2009
IEEE
111views Hardware» more  DSD 2009»
15 years 9 months ago
Robustness Check for Multiple Faults Using Formal Techniques
Feature sizes in VLSI circuits are steadily shrinking. This results in increasing susceptibility to soft errors, e.g. due to environmental radiation. Precautions against soft error...
Stefan Frehse, Görschwin Fey, André S&...
136
Voted
CVPR
2004
IEEE
16 years 4 months ago
How Features of the Human Face Affect Recognition: A Statistical Comparison of Three Face Recognition Algorithms
Recognition difficulty is statistically linked to ??? subject covariate factors such as age and gender for three face recognition algorithms: principle components analysis, an int...
Geof H. Givens, J. Ross Beveridge, Bruce A. Draper...