46 citations · 87 across the 7 of their papers we have counts for
8 papers
Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network
Sijin Li, Zhi-Qiang Liu, Antoni B. Chan
We propose an heterogeneous multi-task learning framework for human pose estimation from monocular image with deep convolutional neural network. In particular, we simultaneously le…
ESSP: An Efficient Approach to Minimizing Dense and Nonsubmodular Energy Functions
Wei Feng, Jiaya Jia, Zhi-Qiang Liu
Many recent advances in computer vision have demonstrated the impressive power of dense and nonsubmodular energy functions in solving visual labeling problems. However, minimizing…
Towards Big Topic Modeling
Jian-Feng Yan, Jia Zeng, Zhi-Qiang Liu +1
To solve the big topic modeling problem, we need to reduce both time and space complexities of batch latent Dirichlet allocation (LDA) algorithms. Although parallel LDA algorithms…
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…
Communication-Efficient Parallel Belief Propagation for Latent Dirichlet Allocation
Jian-feng Yan, Zhi-Qiang Liu, Yang Gao +1
This paper presents a novel communication-efficient parallel belief propagation (CE-PBP) algorithm for training latent Dirichlet allocation (LDA). Based on the synchronous belief p…
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…