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» The Predictability of Data Values
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96
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BMCBI
2008
190views more  BMCBI 2008»
15 years 25 days ago
Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes
Background: Gene expression data frequently contain missing values, however, most downstream analyses for microarray experiments require complete data. In the literature many meth...
Guy N. Brock, John R. Shaffer, Richard E. Blakesle...
106
Voted
ECCV
2004
Springer
16 years 2 months ago
Morphological Operations on Matrix-Valued Images
The output of modern imaging techniques such as diffusion tensor MRI or the physical measurement of anisotropic behaviour in materials such as the stress-tensor consists of tensor-...
Bernhard Burgeth, Martin Welk, Christian Feddern, ...
77
Voted
EXTREME
2004
ACM
15 years 6 months ago
Maintaining Ontology Implementations: The Value of Listening
It’s hard to argue against the concepts of self-describing data, contextual interfaces, and richer metadata for content that eventually will make up the Semantic Web. The need i...
Duane Degler, Renee Lewis
79
Voted
VLDB
1995
ACM
135views Database» more  VLDB 1995»
15 years 4 months ago
Sampling-Based Estimation of the Number of Distinct Values of an Attribute
We provide several new sampling-based estimators of the number of distinct values of an attribute in a relation. We compare these new estimators to estimators from the database an...
Peter J. Haas, Jeffrey F. Naughton, S. Seshadri, L...
IPCV
2008
15 years 2 months ago
Face Recognition using PCA and LDA with Singular Value Decomposition (SVD)
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
Neeta Nain, Nitish Agarwal, Prashant Gour, Rakesh ...