146 search results - page 4 / 30 » Detecting Topic Drift with Compound Topic Models |
ICDM
2008
IEEE
14 years 1 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...
SPIRE
2004
Springer
14 years 21 days ago
2004
Springer
This work provides algorithms and heuristics to index text documents by determining important topics in the documents. To index text documents, the work provides algorithms to gene...
ECIR
2009
Springer
14 years 4 months ago
2009
Springer
Algorithms that enable the process of automatically mining distinct topics in document collections have become increasingly important due to their applications in many fields and ...
WIAMIS
2009
IEEE
14 years 2 months ago
2009
IEEE
This paper suggests an alternative solution for the task of spoken document retrieval (SDR). The proposed system runs retrieval on multi-level transcriptions (word and phone) prod...
CIKM
2006
Springer
13 years 11 months ago
2006
Springer
The detection of new information in a document stream is an important component of many potential applications. In this work, a new novelty detection approach based on the identif...