Latent dirichlet allocation
Citations
328 citations
328 citations
326 citations
326 citations
Cites background or methods from "Latent dirichlet allocation"
...Recently, Xiang and Gong [11] model complex activities of multiple objects in cluttered scenes using dynamic Bayesian networks....
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...But our models are different from previous bag-of-words models (e.g., Niebles et al. [20]) in two major aspects....
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...We will show that by utilizing the class labels, we can greatly simplify the training algorithm, and achieve much better recognition accuracy....
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...Index Terms—Human action recognition, video analysis, bag-of-words, probabilistic graphical models, event and activity understanding Ç...
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325 citations
Cites methods from "Latent dirichlet allocation"
...The most representative models include PLSA [6] and LDA [1]....
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...Wang et al. [15] use an LDA-style topic model to capture both the topic structure and the changes over time....
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...The most representative models include PLSA [6] and LDA [1]....
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...We use perplexity to evaluate the performance of topic modeling [1]....
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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