Siqi Nie
Siqi Nie
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Title
Cited by
Cited by
Year
A generative restricted Boltzmann machine based method for high-dimensional motion data modeling
S Nie, Z Wang, Q Ji
Computer Vision and Image Understanding 136, 14-22, 2015
372015
Advances in learning Bayesian networks of bounded treewidth
S Nie, DD MauŠ, CP De Campos, Q Ji
Advances in Neural Information Processing Systems, 2285-2293, 2014
272014
The deep regression bayesian network and its applications: Probabilistic deep learning for computer vision
S Nie, M Zheng, Q Ji
IEEE Signal Processing Magazine 35 (1), 101-111, 2018
262018
Capturing global and local dynamics for human action recognition
S Nie, Q Ji
2014 22nd International Conference on Pattern Recognition, 1946-1951, 2014
242014
Data-free prior model for upper body pose estimation and tracking
J Chen, S Nie, Q Ji
IEEE transactions on image processing 22 (12), 4627-4639, 2013
152013
Differentiating between posed and spontaneous expressions with latent regression bayesian network
Q Gan, S Nie, S Wang, Q Ji
Thirty-First AAAI Conference on Artificial Intelligence, 2017
122017
Learning Bayesian Networks with Bounded Tree-width via Guided Search
S Nie, CP de Campos, Q Ji
The 30th AAAI Conference on Artificial Intelligence, 2016
112016
Learning Bounded Tree-width Bayesian Networks via Sampling
S Nie, CP de Campos, Q Ji
Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 13th†…, 0
11*
Efficient learning of Bayesian networks with bounded tree-width
S Nie, CP de Campos, Q Ji
International Journal of Approximate Reasoning 80, 412-427, 2017
92017
Latent regression bayesian network for data representation
S Nie, Y Zhao, Q Ji
2016 23rd International Conference on Pattern Recognition (ICPR), 3494-3499, 2016
32016
An information theoretic feature selection framework based on integer programming
S Nie, T Gao, Q Ji
2016 23rd International Conference on Pattern Recognition (ICPR), 3584-3589, 2016
22016
Feature learning using Bayesian linear regression model
S Nie, Q Ji
2014 22nd International Conference on Pattern Recognition, 1502-1507, 2014
22014
Asynchronous linear optical sampling for monitoring impairments in multilevel signal modulation format generation
H Wen, W Ye, S Nie, X Zheng, H Zhang
Asia Communications and Photonics Conference and Exhibition, 83091I, 2011
12011
Deep Regression Bayesian Network and Its Applications
S Nie, M Zheng, Q Ji
arXiv preprint arXiv:1710.04809, 2017
2017
Efficient learning and inference for probabilistic graphical models
S Nie
Rensselaer Polytechnic Institute, 2016
2016
Advances in Learning Bayesian Networks of Bounded Treewidth: Supplementary Material
S Nie, DD MauŠ, CP de Campos, Q Ji
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Articles 1–16