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SADM
2008
178views more  SADM 2008»
15 years 1 days 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
117
Voted
BMCBI
2006
119views more  BMCBI 2006»
15 years 19 days 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
SIAMMAX
2010
98views more  SIAMMAX 2010»
14 years 7 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 ...
100
Voted
ISQED
2008
IEEE
153views Hardware» more  ISQED 2008»
15 years 7 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 6 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, ...