21 citations · 27 across the 3 of their papers we have counts for
4 papers
Fast Online EM for Big Topic Modeling
Jia Zeng, Zhi-Qiang Liu, Xiao-Qin Cao
The expectation-maximization (EM) algorithm can compute the maximum-likelihood (ML) or maximum a posterior (MAP) point estimate of the mixture models or latent variable models such…
Memory-Efficient Topic Modeling
Jia Zeng, Zhi-Qiang Liu, Xiao-Qin Cao
As one of the simplest probabilistic topic modeling techniques, latent Dirichlet allocation (LDA) has found many important applications in text mining, computer vision and computat…
Residual Belief Propagation for Topic Modeling
Jia Zeng, Xiao-Qin Cao, Zhi-Qiang Liu
Fast convergence speed is a desired property for training latent Dirichlet allocation (LDA), especially in online and parallel topic modeling for massive data sets. This paper pres…
A New Approach to Speeding Up Topic Modeling
Jia Zeng, Zhi-Qiang Liu, Xiao-Qin Cao
Latent Dirichlet allocation (LDA) is a widely-used probabilistic topic modeling paradigm, and recently finds many applications in computer vision and computational biology. In this…