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DAGM
2006
Springer
15 years 10 months ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...
BMCBI
2008
149views more  BMCBI 2008»
15 years 6 months ago
Evolution of biological sequences implies an extreme value distribution of type I for both global and local pairwise alignment s
Background: Confidence in pairwise alignments of biological sequences, obtained by various methods such as Blast or Smith-Waterman, is critical for automatic analyses of genomic d...
Olivier Bastien, Eric Maréchal
CIE
2009
Springer
16 years 1 months ago
First-Order Universality for Real Programs
J. Raymundo Marcial–Romero and M. H. Escard´o described onal programming language with an abstract data type Real for the real numbers and a non-deterministic operator rtest: Re...
Thomas Anberrée
IJON
2002
85views more  IJON 2002»
15 years 6 months ago
Learning statistically efficient features for speaker recognition
We apply independent component analysis (ICA) for extracting an optimal basis to the problem of finding efficient features for a speaker. The basis functions learned by the algori...
Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh
BMCBI
2007
107views more  BMCBI 2007»
15 years 6 months ago
antiCODE: a natural sense-antisense transcripts database
Background: Natural antisense transcripts (NATs) are endogenous RNA molecules that exhibit partial or complete complementarity to other RNAs, and that may contribute to the regula...
Yifei Yin, Yi Zhao, Jie Wang, Changning Liu, Shugu...