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BMCBI
2006
119views more  BMCBI 2006»
15 years 4 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
RECOMB
2010
Springer
15 years 6 months ago
An Algorithmic Framework for Predicting Side-Effects of Drugs
Abstract. One of the critical stages in drug development is the identification of potential side effects for promising drug leads. Large scale clinical experiments aimed at discove...
Nir Atias, Roded Sharan
CVPR
2009
IEEE
16 years 11 months ago
Joint and Implicit Registration for Face Recognition
Contemporary face recognition algorithms rely on precise localization of keypoints (corner of eye, nose etc.). Unfortunately, finding keypoints reliably and accurately remains a...
Peng Li, Simon J. D. Prince
IJCNN
2000
IEEE
15 years 7 months ago
Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...
Sander M. Bohte, Johannes A. La Poutré, Joo...
VDA
2010
169views Visualization» more  VDA 2010»
15 years 6 months ago
Techniques for precision-based visual analysis of projected data
The analysis of high-dimensional data is an important, yet inherently difficult problem. Projection techniques such as PCA, MDS, and SOM can be used to map high-dimensional data t...
Tobias Schreck, Tatiana von Landesberger, Sebastia...