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AVBPA
2003
Springer
133views Biometrics» more  AVBPA 2003»
15 years 5 months ago
LUT-Based Adaboost for Gender Classification
There are two main approaches to the problem of gender classification, Support Vector Machines (SVMs) and Adaboost learning methods, of which SVMs are better in correct rate but ar...
Bo Wu, Haizhou Ai, Chang Huang
ESA
2006
Springer
84views Algorithms» more  ESA 2006»
15 years 5 months ago
The Engineering of a Compression Boosting Library: Theory vs Practice in BWT Compression
Paolo Ferragina, Raffaele Giancarlo, Giovanni Manz...
106
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SODA
2004
ACM
131views Algorithms» more  SODA 2004»
15 years 3 months ago
Compression boosting in optimal linear time using the Burrows-Wheeler Transform
Paolo Ferragina, Giovanni Manzini
123
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ACL
2008
15 years 3 months ago
Beyond Log-Linear Models: Boosted Minimum Error Rate Training for N-best Re-ranking
Current re-ranking algorithms for machine translation rely on log-linear models, which have the potential problem of underfitting the training data. We present BoostedMERT, a nove...
Kevin Duh, Katrin Kirchhoff