Latent dirichlet allocation
Citations
553 citations
Cites methods from "Latent dirichlet allocation"
...Auli et al. (2013) use a fixed continuous-space source representation, obtained from LDA (Blei et al., 2003) or a source-only NNLM....
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...(2013) use a fixed continuous-space source representation, obtained from LDA (Blei et al., 2003) or a source-only NNLM....
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550 citations
549 citations
549 citations
Cites methods from "Latent dirichlet allocation"
...For text documents, we use bag-of-word feature based on the 5, 018 tags provided by NUS-WIDE, and further reduce its dimensionality by Latent Dirichlet Allocation (LDA) [2] to get the final 60-D textual feature for text documents....
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...For text documents, we use bag-of-word feature based on the 5, 018 tags provided by NUS-WIDE, and further reduce its dimensionality by Latent Dirichlet Allocation (LDA) [2] to get the .nal 60-...
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...LDAHash [28] learns hash functions by minimizing (maximizing) the expectation of the hamming distances over positive(negative) pairs....
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546 citations
References
17,608 citations
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