کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
533318 870100 2013 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A Markov random field-regulated Pitman–Yor process prior for spatially constrained data clustering
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
A Markov random field-regulated Pitman–Yor process prior for spatially constrained data clustering
چکیده انگلیسی

In this work, we propose a Markov random field-regulated Pitman–Yor process (MRF-PYP) prior for nonparametric clustering of data with spatial interdependencies. The MRF-PYP is constructed by imposing a Pitman–Yor process over the distribution of the latent variables that allocate data points to clusters (model states), the discount hyperparameter of which is regulated by an additionally postulated simplified (pointwise) Markov random field (Gibbsian) distribution with a countably infinite number of states. Further, based on the stick-breaking construction of the Pitman–Yor process, we derive an efficient truncated variational Bayesian algorithm for model inference. We examine the efficacy of our approach by considering an unsupervised image segmentation application using a real-world dataset. We show that our approach completely outperforms related methods from the field of Bayesian nonparametrics, including the recently proposed infinite hidden Markov random field model and the Dirichlet process prior.


► A Markov random field-regulated Pitman–Yor process is proposed.
► We postulate a simplified pointwise MRF that regulates the Pitman–Yor process.
► Our construction facilitates nonparametric clustering of data with spatial interdependencies.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 46, Issue 6, June 2013, Pages 1595–1603
نویسندگان
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