20 search results - page 1 / 4 » Maximum Margin Clustering with Multivariate Loss Function |
ICDM
2009
IEEE
13 years 2 months ago
2009
IEEE
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
TKDE
2012
11 years 7 months ago
2012
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
This paper considers a method for speech emotion recognition by a max-margin framework incorporating a loss function based on a well-known model called the Watson and Tellegen’s...
ICDM
2010
IEEE
13 years 1 months ago
2010
IEEE
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...