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ICASSP
2008
IEEE
15 years 4 months ago
Robust speaker identification using combined feature selection and missing data recognition
Missing data techniques have been recently applied to speaker recognition to increase performance in noisy environments. The drawback of these techniques is the vulnerability of t...
Daniel Pullella, Marco Kühne, Roberto Togneri
ISSRE
2000
IEEE
15 years 1 months ago
Assessing the Cost-Effectiveness of Inspections by Combining Project Data and Expert Opinion
There is a general agreement among software engineering practitioners that software inspections are an important technique to achieve high software quality at a reasonable cost. H...
Lionel C. Briand, Bernd G. Freimut, Ferdinand Voll...
ACL
2003
14 years 11 months ago
Text Chunking by Combining Hand-Crafted Rules and Memory-Based Learning
This paper proposes a hybrid of handcrafted rules and a machine learning method for chunking Korean. In the partially free word-order languages such as Korean and Japanese, a smal...
Seong-Bae Park, Byoung-Tak Zhang
NIPS
1996
14 years 11 months ago
Improving the Accuracy and Speed of Support Vector Machines
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...
Christopher J. C. Burges, Bernhard Schölkopf
WABI
2009
Springer
117views Bioinformatics» more  WABI 2009»
15 years 4 months ago
A Simulation Study Comparing Supertree and Combined Analysis Methods Using SMIDGen
Background: Supertree methods comprise one approach to reconstructing large molecular phylogenies given multi-marker datasets: trees are estimated on each marker and then combined...
M. Shel Swenson, François Barbançon,...