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2017

2017

For finding the appropriate number of clusters in short text clustering, models based on Dirichlet Multinomial Mixture (DMM… Expand

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2015

2015

On account of both their functional and their morphosyntactic characteristics, relative clauses are often viewed as indicators of… Expand

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2014

2014

The Pitman-Yor process provides an elegant way to cluster data that exhibit power law behavior, where the number of clusters is… Expand

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2013

2013

In many applications, a finite mixture is a natural model, but it can be difficult to choose an appropriate number of components… Expand

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2012

2012

In this work, we propose the kernel Pitman-Yor process (KPYP) for nonparametric clustering of data with general spatial or… Expand

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Highly Cited

2012

Highly Cited

2012

Bayesian models offer great flexibility for clustering applications--Bayesian nonparametrics can be used for modeling infinite… Expand

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Highly Cited

2010

Highly Cited

2010

One important approach for knowledge discovery and data mining is to estimate unobserved variables because latent variables can… Expand

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Highly Cited

2008

Highly Cited

2008

We develop a statistical framework for the simultaneous, unsupervised segmentation and discovery of visual object categories from… Expand

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2008

2008

In this paper, we describe two hierarchical Bayesian models for dependency trees. First, we show that Eisner’s classic generative… Expand

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2003

2003

This paper considers a diversified world stock index in a continuous financial market with the growth optimal portfolio (GOP) as… Expand

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