EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis

@article{Gebru2016EMAF,
  title={EM Algorithms for Weighted-Data Clustering with Application to Audio-Visual Scene Analysis},
  author={Israel D. Gebru and Xavier Alameda-Pineda and F. Forbes and R. Horaud},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2016},
  volume={38},
  pages={2402-2415}
}
  • Israel D. Gebru, Xavier Alameda-Pineda, +1 author R. Horaud
  • Published 2016
  • Computer Science, Medicine, Mathematics
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
    • Data clustering has received a lot of attention and numerous methods, algorithms and software packages are available. [...] Key Method The first one considers a fixed weight for each observation. The second one treats each weight as a random variable following a gamma distribution.Expand Abstract
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    References

    SHOWING 1-10 OF 44 REFERENCES
    Model-based Gaussian and non-Gaussian clustering
    • 2,098
    • PDF
    Unsupervised Learning of Finite Mixture Models
    • 2,104
    • PDF
    Robust Bayesian clustering
    • 94
    • PDF
    Robust mixture clustering using Pearson type VII distribution
    • 20
    • PDF
    A Component-Wise EM Algorithm for Mixtures
    • 142
    • PDF
    Methods for merging Gaussian mixture components
    • C. Hennig
    • Computer Science
    • Adv. Data Anal. Classif.
    • 2010
    • 193
    • PDF
    Kernel k-means: spectral clustering and normalized cuts
    • 1,087
    • PDF
    Combining Mixture Components for Clustering
    • 240
    • PDF
    Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions
    • 107
    Co-Localization of Audio Sources in Images Using Binaural Features and Locally-Linear Regression
    • 41
    • PDF