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» Concept Lattice Generation by Singular Value Decomposition
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BMCBI
2008
138views more  BMCBI 2008»
13 years 5 months ago
Combining transcriptional datasets using the generalized singular value decomposition
Background: Both microarrays and quantitative real-time PCR are convenient tools for studying the transcriptional levels of genes. The former is preferable for large scale studies...
Andreas W. Schreiber, Neil J. Shirley, Rachel A. B...
ISSRE
2007
IEEE
13 years 6 months ago
Prioritization of Regression Tests using Singular Value Decomposition with Empirical Change Records
During development and testing, changes made to a system to repair a detected fault can often inject a new fault into the code base. These injected faults may not be in the same f...
Mark Sherriff, Mike Lake, Laurie Williams
PR
2008
115views more  PR 2008»
13 years 4 months ago
Fractional order singular value decomposition representation for face recognition
Face Representation (FR) plays a typically important role in face recognition and methods such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) have be...
Jun Liu, Songcan Chen, Xiaoyang Tan
BCI
2009
IEEE
13 years 11 months ago
On the Performance of SVD-Based Algorithms for Collaborative Filtering
—In this paper, we describe and compare three Collaborative Filtering (CF) algorithms aiming at the low-rank approximation of the user-item ratings matrix. The algorithm implemen...
Manolis G. Vozalis, Angelos I. Markos, Konstantino...
ICSE
1997
IEEE-ACM
13 years 9 months ago
Assessing Modular Structure of Legacy Code Based on Mathematical Concept Analysis
We apply mathematical concept analysis in order to modularize legacy code. By analysing the relation between procedures and global variables, a so-called concept lattice is constr...
Christian Lindig, Gregor Snelting