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Logistic Stick-Breaking Process.

Publication ,  Journal Article
Ren, L; Du, L; Carin, L; Dunson, DB
Published in: Journal of machine learning research : JMLR
January 2011

A logistic stick-breaking process (LSBP) is proposed for non-parametric clustering of general spatially- or temporally-dependent data, imposing the belief that proximate data are more likely to be clustered together. The sticks in the LSBP are realized via multiple logistic regression functions, with shrinkage priors employed to favor contiguous and spatially localized segments. The LSBP is also extended for the simultaneous processing of multiple data sets, yielding a hierarchical logistic stick-breaking process (H-LSBP). The model parameters (atoms) within the H-LSBP are shared across the multiple learning tasks. Efficient variational Bayesian inference is derived, and comparisons are made to related techniques in the literature. Experimental analysis is performed for audio waveforms and images, and it is demonstrated that for segmentation applications the LSBP yields generally homogeneous segments with sharp boundaries.

Duke Scholars

Published In

Journal of machine learning research : JMLR

EISSN

1533-7928

ISSN

1532-4435

Publication Date

January 2011

Volume

12

Issue

Jan

Start / End Page

203 / 239

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4905 Statistics
  • 4611 Machine learning
  • 17 Psychology and Cognitive Sciences
  • 08 Information and Computing Sciences
 

Citation

APA
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ICMJE
MLA
NLM
Ren, L., Du, L., Carin, L., & Dunson, D. B. (2011). Logistic Stick-Breaking Process. Journal of Machine Learning Research : JMLR, 12(Jan), 203–239.
Ren, Lu, Lan Du, Lawrence Carin, and David B. Dunson. “Logistic Stick-Breaking Process.Journal of Machine Learning Research : JMLR 12, no. Jan (January 2011): 203–39.
Ren L, Du L, Carin L, Dunson DB. Logistic Stick-Breaking Process. Journal of machine learning research : JMLR. 2011 Jan;12(Jan):203–39.
Ren, Lu, et al. “Logistic Stick-Breaking Process.Journal of Machine Learning Research : JMLR, vol. 12, no. Jan, Jan. 2011, pp. 203–39.
Ren L, Du L, Carin L, Dunson DB. Logistic Stick-Breaking Process. Journal of machine learning research : JMLR. 2011 Jan;12(Jan):203–239.

Published In

Journal of machine learning research : JMLR

EISSN

1533-7928

ISSN

1532-4435

Publication Date

January 2011

Volume

12

Issue

Jan

Start / End Page

203 / 239

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4905 Statistics
  • 4611 Machine learning
  • 17 Psychology and Cognitive Sciences
  • 08 Information and Computing Sciences