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» Modeling class cohesion as mixtures of latent topics
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NIPS
2001
13 years 6 months ago
Latent Dirichlet Allocation
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...
David M. Blei, Andrew Y. Ng, Michael I. Jordan
SIGIR
2006
ACM
13 years 10 months ago
Probabilistic latent query analysis for combining multiple retrieval sources
Combining the output from multiple retrieval sources over the same document collection is of great importance to a number of retrieval tasks such as multimedia retrieval, web retr...
Rong Yan, Alexander G. Hauptmann
NIPS
2004
13 years 6 months ago
Parametric Embedding for Class Visualization
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean S...
ICMCS
2005
IEEE
169views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Dynamic language model adaptation using latent topical information and automatic transcripts
This paper considers dynamic language model adaptation for Mandarin broadcast news recognition. Both contemporary newswire texts and in-domain automatic transcripts were exploited...
Berlin Chen
EMNLP
2008
13 years 6 months ago
HTM: A Topic Model for Hypertexts
Previously topic models such as PLSI (Probabilistic Latent Semantic Indexing) and LDA (Latent Dirichlet Allocation) were developed for modeling the contents of plain texts. Recent...
Congkai Sun, Bin Gao, Zhenfu Cao, Hang Li