Latent dirichlet allocation
Citations
740 citations
Cites background from "Latent dirichlet allocation"
...2007], latent Dirichlet allocation [Blei et al. 2003], or models that are induced by singular value decomposition (SVD) on the useritem ratings matrix....
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...… goal to uncover latent features that explain observed ratings; examples include pLSA [Hofmann 2004], neural networks [Salakhutdinov et al. 2007], latent Dirichlet allocation [Blei et al. 2003], or models that are induced by singular value decomposition (SVD) on the useritem ratings matrix....
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737 citations
Cites background from "Latent dirichlet allocation"
...To automatically discover objects in an image collection, two very challenging issues must be addressed: (i) how to recognize visually similar objects; and (ii) how to segment them from their background....
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733 citations
Cites background from "Latent dirichlet allocation"
...It has a 10 dimensional latent Dirichlet allocation model [2] based text features and 128 dimensional SIFT histogram image features (see [15] for more details)....
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732 citations
731 citations
Additional excerpts
...This is akin to a computing topic based similarity of documents (Blei et al., 2003)....
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References
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16,079 citations
"Latent dirichlet allocation" refers background in this paper
...Finally, Griffiths and Steyvers (2002) have presented a Markov chain Monte Carlo algorithm for LDA....
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...Structures similar to that shown in Figure 1 are often studied in Bayesian statistical modeling, where they are referred to ashierarchical models(Gelman et al., 1995), or more precisely asconditionally independent hierarchical models(Kass and Steffey, 1989)....
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...Structures similar to that shown in Figure 1 are often studied in Bayesian statistical modeling, where they are referred to as hierarchical models (Gelman et al., 1995), or more precisely as conditionally independent hierarchical models (Kass and Steffey, 1989)....
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12,443 citations
"Latent dirichlet allocation" refers methods in this paper
...To address these shortcomings, IR researchers have proposed several other dimensionality reduction techniques, most notably latent semantic indexing (LSI) (Deerwester et al., 1990)....
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...To address these shortcomings, IR researchers have proposed several other dimensionality reduction techniques, most notablylatent semantic indexing (LSI)(Deerwester et al., 1990)....
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12,059 citations
"Latent dirichlet allocation" refers background or methods in this paper
...In the populartf-idf scheme (Salton and McGill, 1983), a basic vocabulary of “words” or “terms” is chosen, and, for each document in the corpus, a count is formed of the number of occurrences of each word....
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...We report results in document modeling, text classification, and collaborative filtering, comparing to a mixture of unigrams model and the probabilistic LSI model....
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7,086 citations