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» Matrix-Variate Dirichlet Process Mixture Models
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SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
13 years 8 months ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu
MMM
2011
Springer
244views Multimedia» more  MMM 2011»
12 years 10 months ago
Generating Representative Views of Landmarks via Scenic Theme Detection
Visual summarization of landmarks is an interesting and non-trivial task with the availability of gigantic community-contributed resources. In this work, we investigate ways to gen...
Yi-Liang Zhao, Yan-Tao Zheng, Xiangdong Zhou, Tat-...
ACL
2007
13 years 8 months ago
Unsupervised Language Model Adaptation Incorporating Named Entity Information
Language model (LM) adaptation is important for both speech and language processing. It is often achieved by combining a generic LM with a topic-specific model that is more releva...
Feifan Liu, Yang Liu
ICML
2005
IEEE
14 years 8 months ago
Bayesian hierarchical clustering
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
Katherine A. Heller, Zoubin Ghahramani
ICML
2008
IEEE
14 years 8 months ago
An HDP-HMM for systems with state persistence
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...