178 search results - page 11 / 36 » LSMR: An iterative algorithm for sparse least-squares proble... |
ISCAS
2008
IEEE
14 years 1 months ago
2008
IEEE
— Non-negative matrix factorization (NMF), i.e. V ≈ WH where both V, W and H are non-negative has become a widely used blind source separation technique due to its part based r...
CORR
2011
Springer
2011
Springer
Iterative Reweighted Algorithms for Sparse Signal Recovery with Temporally Correlated Source Vectors
13 years 2 months ago
Iterative reweighted algorithms, as a class of algorithms for sparse signal recovery, have been found to have better performance than their non-reweighted counterparts. However, f...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
This paper studies the outlier detection problem from the point of view of penalized regressions. Our regression model adds one mean shift parameter for each of the n data points....
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
ICAISC
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. This paper proposes the Sequential Coordinate-Wise Algorithm (SCWA) to Discriminant Nonnegative Matrix Factorization (DNMF) for improving face recognition. DNMF incorpora...