ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
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...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
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...
JMLR
2010
12 years 11 months ago
2010
Collapsed Gibbs sampling is a frequently applied method to approximate intractable integrals in probabilistic generative models such as latent Dirichlet allocation. This sampling ...
WWW
2011
ACM
12 years 11 months ago
2011
ACM
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...
COLING
2010
12 years 11 months ago
2010
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...
EMNLP
2009
13 years 2 months ago
2009
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...
WOA
2010
13 years 2 months ago
2010
Classification of users' whereabouts patterns is important for many emerging ubiquitous computing applications. Latent Dirichlet Allocation (LDA) is a powerful mechanism to e...
EMNLP
2010
13 years 2 months ago
2010
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...
ACL
2010
13 years 2 months ago
2010
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...
PKDD
2010
Springer
13 years 3 months ago
2010
Springer
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...