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BMCBI
2008
160views more  BMCBI 2008»
15 years 6 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...
JACM
2006
99views more  JACM 2006»
15 years 6 months ago
Finding a maximum likelihood tree is hard
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Benny Chor, Tamir Tuller
IROS
2007
IEEE
254views Robotics» more  IROS 2007»
16 years 28 days ago
3D datasets segmentation based on local attribute variation
— We present a Graph-based method for low-level segmentation of unfiltered 3D data. The core of this approach is based on the construction of a local neighborhood structure and ...
Carla Silva Rocha Aguiar, Sébastien Druon, ...
ESWS
2007
Springer
16 years 24 days ago
The NExT System: Towards True Dynamic Adaptations of Semantic Web Service Compositions
Traditional process support systems typically offer a static composition of atomic tasks to more powerful services. In the real world, however, processes change over time: busines...
Abraham Bernstein, Michael Dänzer
ISMIR
2000
Springer
168views Music» more  ISMIR 2000»
15 years 10 months ago
Mel Frequency Cepstral Coefficients for Music Modeling
We examine in some detail Mel Frequency Cepstral Coefficients (MFCCs) - the dominant features used for speech recognition - and investigate their applicability to modeling music. ...
Beth Logan