48 search results - page 6 / 10 » Gaussian LDA for Topic Models with Word Embeddings |
ICDM
2008
IEEE
15 years 5 months ago
2008
IEEE
We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...
CIKM
2008
Springer
15 years 15 days ago
2008
Springer
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
Generative topic models such as LDA are limited by their inability to utilize nontrivial input features to enhance their performance, and many topic models assume that topic assig...
ACCV
2009
Springer
15 years 5 months ago
2009
Springer
The method based on local features has an advantage that the important local motion feature is represented as bag-of-features, but lacks the location information. Additionally, in ...
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ICDE
2009
IEEE
16 years 7 days ago
2009
IEEE
In bibliographies like DBLP and Citeseer, there are three kinds of entity-name problems that need to be solved. First, multiple entities share one name, which is called the name sh...