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ICDM
2009
IEEE
175views Data Mining» more  ICDM 2009»
13 years 7 months ago
Maximum Margin Clustering with Multivariate Loss Function
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
Bin Zhao, James Tin-Yau Kwok, Changshui Zhang
ICASSP
2011
IEEE
13 years 1 months ago
An unconstrained method for lip detection in color images
The use of visual information derived from accurate lip extraction, can provide features invariant to noise perturbation for speech recognition systems and can be also used in a w...
Evangelos Skodras, Nikolaos D. Fakotakis
SADM
2010
141views more  SADM 2010»
13 years 4 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
CEJCS
2011
78views more  CEJCS 2011»
12 years 9 months ago
Good versus optimal: Why network analytic methods need more systematic evaluation
: Network analytic method designed for the analysis of static networks promise to identify significant relational patterns that correlate with important structures in the complex ...
Katharina Anna Zweig
ICIP
2009
IEEE
13 years 7 months ago
Markovian clustering for the non-local means image denoising
The non-local means filter is one of powerful denoising methods which allows participation of far, but proper pixels in the denoising process. Although the weights of non-similar ...
Rachid Hedjam, Reza Farrahi Moghaddam, Mohamed Che...