47 search results - page 1 / 10 » Bayesian Document Generative Model with Explicit Multiple To... |
EMNLP
2007
14 years 11 months ago
2007
In this paper, we proposed a novel probabilistic generative model to deal with explicit multiple-topic documents: Parametric Dirichlet Mixture Model(PDMM). PDMM is an expansion of...
108
Voted
NIPS
2001
14 years 11 months ago
2001
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian m...
113
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AAAI
2010
14 years 11 months ago
2010
This paper presents the Topic-Aspect Model (TAM), a Bayesian mixture model which jointly discovers topics and aspects. We broadly define an aspect of a document as a characteristi...
130
Voted
CVPR
2009
IEEE
15 years 1 months ago
2009
IEEE
Segmentation of document images remains a challenging vision problem. Although document images have a structured layout, capturing enough of it for segmentation can be difficult....
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We introduce the Spherical Admixture Model (SAM), a Bayesian topic model for arbitrary 2 normalized data. SAM maintains the same hierarchical structure as Latent Dirichlet Allocat...