53 citations · 79 across the 4 of their papers we have counts for
4 papers
A Generative Restricted Boltzmann Machine Based Method for High-Dimensional Motion Data Modeling
Siqi Nie, Ziheng Wang, Qiang Ji
Many computer vision applications involve modeling complex spatio-temporal patterns in high-dimensional motion data. Recently, restricted Boltzmann machines (RBMs) have been widely…
Deep Regression Bayesian Network and Its Applications
Siqi Nie, Meng Zheng, Qiang Ji
Deep directed generative models have attracted much attention recently due to their generative modeling nature and powerful data representation ability. In this paper, we review di…
Latent Regression Bayesian Network for Data Representation
Siqi Nie, Qiang Ji
Deep directed generative models have attracted much attention recently due to their expressive representation power and the ability of ancestral sampling. One major difficulty of l…
Advances in Learning Bayesian Networks of Bounded Treewidth
Siqi Nie, Denis Deratani Maua, Cassio Polpo de Campos +1
This work presents novel algorithms for learning Bayesian network structures with bounded treewidth. Both exact and approximate methods are developed. The exact method combines mix…