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SADM
2008
178views more  SADM 2008»
15 years 3 months ago
Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem
: Nonnegative matrix approximation (NNMA) is a popular matrix decomposition technique that has proven to be useful across a diverse variety of fields with applications ranging from...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
BMCBI
2006
119views more  BMCBI 2006»
15 years 3 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
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SIAMMAX
2010
98views more  SIAMMAX 2010»
14 years 10 months ago
Improved Balanced Incomplete Factorization
In this paper we improve the BIF algorithm which computes simultaneously the LU factors (direct factors) of a given matrix, and their inverses (inverse factors). This algorithm was...
Rafael Bru, José Marín, José ...
ISQED
2008
IEEE
153views Hardware» more  ISQED 2008»
15 years 10 months ago
Accelerating Clock Mesh Simulation Using Matrix-Level Macromodels and Dynamic Time Step Rounding
Clock meshes have found increasingly wide applications in today’s high-performance IC designs. The inherent routing redundancies associated with clock meshes lead to improved cl...
Xiaoji Ye, Min Zhao, Rajendran Panda, Peng Li, Jia...
SIGIR
2005
ACM
15 years 9 months ago
SimFusion: measuring similarity using unified relationship matrix
In this paper we use a Unified Relationship Matrix (URM) to represent a set of heterogeneous data objects (e.g., web pages, queries) and their interrelationships (e.g., hyperlinks...
Wensi Xi, Edward A. Fox, Weiguo Fan, Benyu Zhang, ...