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132
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GLVLSI
2005
IEEE
205views VLSI» more  GLVLSI 2005»
15 years 8 months ago
Optimization objectives and models of variation for statistical gate sizing
This paper approaches statistical optimization by examining gate delay variation models and optimization objectives. Most previous work on statistical optimization has focused exc...
Matthew R. Guthaus, Natesan Venkateswaran, Vladimi...
JMLR
2006
125views more  JMLR 2006»
15 years 2 months ago
Spam Filtering Using Statistical Data Compression Models
Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade fi...
Andrej Bratko, Gordon V. Cormack, Bogdan Filipic, ...
ACL
2000
15 years 4 months ago
A Unified Statistical Model for the Identification of English BaseNP
This paper presents a novel statistical model for automatic identification of English baseNP. It uses two steps: the Nbest Part-Of-Speech (POS) tagging and baseNP identification g...
Endong Xun, Changning Huang, Ming Zhou
129
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SADM
2010
141views more  SADM 2010»
14 years 9 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
108
Voted
ICPR
2008
IEEE
16 years 3 months ago
Background variability modeling for statistical layout analysis
Geometric layout analysis plays an important role in document image understanding. Many algorithms known in literature work well on standard document images, achieving high text l...
Faisal Shafait, Joost van Beusekom, Daniel Keysers...