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PAMI
2010
113views more  PAMI 2010»
13 years 5 months ago
Hierarchical Bayesian Modeling of Topics in Time-Stamped Documents
—We consider the problem of inferring and modeling topics in a sequence of documents with known publication dates. The documents at a given time are each characterized by a topic...
Iulian Pruteanu-Malinici, Lu Ren, John William Pai...
ICDM
2008
IEEE
224views Data Mining» more  ICDM 2008»
14 years 1 months ago
A Non-parametric Approach to Pair-Wise Dynamic Topic Correlation Detection
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...
Yang Song, Lu Zhang 0007, C. Lee Giles
JCISE
2002
129views more  JCISE 2002»
13 years 7 months ago
Modeling Information Needs in Engineering Databases Using Tacit Knowledge
Online resources of engineering design information are a critical resource for practicing engineers. These online resources often contain references and content associated with te...
Shuang Song, Andy Dong, Alice M. Agogino
ICML
2006
IEEE
14 years 8 months ago
Topic modeling: beyond bag-of-words
Some models of textual corpora employ text generation methods involving n-gram statistics, while others use latent topic variables inferred using the "bag-of-words" assu...
Hanna M. Wallach
WWW
2008
ACM
14 years 8 months ago
Computable social patterns from sparse sensor data
We present a computational framework to automatically discover high-order temporal social patterns from very noisy and sparse location data. We introduce the concept of social foo...
Dinh Q. Phung, Brett Adams, Svetha Venkatesh