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ICASSP
2011
IEEE
8 years 3 months ago
Hierarchical Latent Dirichlet Allocation models for realistic action recognition
It has always been very difficult to recognize realistic actions from unconstrained videos because there are tremendous variations from camera motion, background clutter, object a...
Heping Li, Jie Liu, Shuwu Zhang
ICASSP
2011
IEEE
8 years 3 months ago
Bayesian topic models for describing computer network behaviors
We consider the use of Bayesian topic models in the analysis of computer network traffic. Our approach utilizes latent Dirichlet allocation and time-varying dynamic latent Dirich...
Christopher Cramer, Lawrence Carin
JMLR
2010
121views more  JMLR 2010»
8 years 6 months ago
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation
Collapsed Gibbs sampling is a frequently applied method to approximate intractable integrals in probabilistic generative models such as latent Dirichlet allocation. This sampling ...
Han Xiao, Thomas Stibor
WWW
2011
ACM
8 years 7 months ago
Investigating topic models for social media user recommendation
This paper presents a user recommendation system that recommends to a user new friends having similar interests. We automatically discover users’ interests using Latent Dirichle...
Marco Pennacchiotti, Siva Gurumurthy
COLING
2010
8 years 7 months ago
Finding the Storyteller: Automatic Spoiler Tagging using Linguistic Cues
Given a movie comment, does it contain a spoiler? A spoiler is a comment that, when disclosed, would ruin a surprise or reveal an important plot detail. We study automatic methods...
Sheng Guo, Naren Ramakrishnan
EMNLP
2009
8 years 10 months ago
Cross-Cultural Analysis of Blogs and Forums with Mixed-Collection Topic Models
This paper presents preliminary results on the detection of cultural differences from people's experiences in various countries from two perspectives: tourists and locals. Ou...
Michael Paul, Roxana Girju
WOA
2010
8 years 10 months ago
Classification of Whereabouts Patterns From Large-scale Mobility Data
Classification of users' whereabouts patterns is important for many emerging ubiquitous computing applications. Latent Dirichlet Allocation (LDA) is a powerful mechanism to e...
Laura Ferrari, Marco Mamei
EMNLP
2010
8 years 10 months ago
Evaluating Models of Latent Document Semantics in the Presence of OCR Errors
Models of latent document semantics such as the mixture of multinomials model and Latent Dirichlet Allocation have received substantial attention for their ability to discover top...
Daniel David Walker, William B. Lund, Eric K. Ring...
ACL
2010
8 years 10 months ago
Latent Variable Models of Selectional Preference
This paper describes the application of so-called topic models to selectional preference induction. Three models related to Latent Dirichlet Allocation, a proven method for modell...
Diarmuid Ó Séaghdha
PKDD
2010
Springer
154views Data Mining» more  PKDD 2010»
8 years 10 months ago
Topic Models Conditioned on Relations
Latent Dirichlet allocation is a fully generative statistical language model that has been proven to be successful in capturing both the content and the topics of a corpus of docum...
Mirwaes Wahabzada, Zhao Xu, Kristian Kersting
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