574 search results - page 6 / 115 » Maximum Margin Clustering |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We describe an alternative to standard nonnegative matrix factorisation (NMF) for nonnegative dictionary learning. NMF with the Kullback-Leibler divergence can be seen as maximisa...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Maximum Margin Matrix Factorization (MMMF) was recently suggested (Srebro et al., 2005) as a convex, infinite dimensional alternative to low-rank approximations and standard facto...
ML
2008
ACM
13 years 7 months ago
2008
ACM
Abstract. Collaborative filtering is a popular method for personalizing product recommendations. Maximum Margin Matrix Factorization (MMMF) has been proposed as one successful lear...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
Maximum Margin Criterion (MMC) based Feature Extraction method is more efficient than LDA for calculating the discriminant vectors since it does not need to calculate the inverse ...