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HAIS
2010
Springer
15 years 1 months ago
Reducing Dimensionality in Multiple Instance Learning with a Filter Method
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...
Amelia Zafra, Mykola Pechenizkiy, Sebastián...
147
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BMCBI
2010
135views more  BMCBI 2010»
15 years 3 months ago
A classification approach for genotyping viral sequences based on multidimensional scaling and linear discriminant analysis
Background: Accurate classification into genotypes is critical in understanding evolution of divergent viruses. Here we report a new approach, MuLDAS, which classifies a query seq...
Ji Woong Kim, Yongju Ahn, Kichan Lee, Sung-Hee Par...
CSDA
2011
14 years 10 months ago
An affine invariant multiple test procedure for assessing multivariate normality
: A multiple test procedure for assessing multivariate normality (MVN) that combines a finite set of affine invariant test statistics for MVN is proposed. This combination is base...
Carlos Tenreiro
ICIP
2007
IEEE
16 years 5 months ago
EKF Based Pose Estimation using Two Back-to-Back Stereo Pairs
In this work, we solve the pose estimation problem for robot motion by placing multiple cameras on the robot. In particular, we use four cameras arranged as two back-to-back stere...
Mohammad Ehab Ragab, King Hong Wong, Jun Zhou Chen...
COLING
2008
15 years 4 months ago
Using Three Way Data for Word Sense Discrimination
In this paper, an extension of a dimensionality reduction algorithm called NONNEGATIVE MATRIX FACTORIZATION is presented that combines both `bag of words' data and syntactic ...
Tim Van de Cruys