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ECIR
2009
Springer
14 years 3 months ago
Topic and Trend Detection in Text Collections Using Latent Dirichlet Allocation
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 ...
Levent Bolelli, Seyda Ertekin, C. Lee Giles
PAKDD
2010
ACM
182views Data Mining» more  PAKDD 2010»
13 years 9 months ago
Computation of Ratios of Secure Summations in Multi-party Privacy-Preserving Latent Dirichlet Allocation
In this paper, we focus our attention on the problem of computing the ratio of two numbers, both of which are the summations of the private numbers distributed in different parties...
Bin Yang, Hiroshi Nakagawa
JMLR
2010
121views more  JMLR 2010»
13 years 24 days 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
SAC
2009
ACM
14 years 24 days ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad
CVPR
2010
IEEE
1171views Computer Vision» more  CVPR 2010»
13 years 11 months ago
Topic-Regression Multi-Modal Latent Dirichlet Allocation for Image Annotation
We present topic-regression multi-modal Latent Dirichlet Allocation (tr-mmLDA), a novel statistical topic model for the task of image and video annotation. At the heart of our new...
Duangmanee Putthividhya, Hagai Attias, Srikantan N...