885 search results - page 79 / 177 » Random Matrices in Data Analysis |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Relational data appear frequently in many machine learning applications. Relational data consist of the pairwise relations (similarities or dissimilarities) between each pair of i...
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
IEEEPACT
1998
IEEE
14 years 1 days ago
1998
IEEE
Global locality analysis is a technique for improving the cache performance of a sequence of loop nests through a combination of loop and data layout optimizations. Pure loop tran...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
The MUSIC algorithm, and its extension for imaging sparse extended objects, with noisy data is analyzed by compressed sensing (CS) techniques. A thresholding rule is developed to a...
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X USV , where factor matrices, U, S, and V , are restricted to be nonnegativ...