John Paisley
John Paisley
確認したメール アドレス: columbia.edu - ホームページ
タイトル引用先
Stochastic variational inference
MD Hoffman, DM Blei, C Wang, J Paisley
The Journal of Machine Learning Research 14 (1), 1303-1347, 2013
13832013
Online variational inference for the hierarchical Dirichlet process
C Wang, J Paisley, D Blei
Proceedings of the Fourteenth International Conference on Artificial …, 2011
3632011
Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images
M Zhou, H Chen, J Paisley, L Ren, L Li, Z Xing, D Dunson, G Sapiro, ...
IEEE Transactions on Image Processing 21 (1), 130-144, 2012
352*2012
Variational Bayesian Inference with Stochastic Search
J Paisley, DM Blei, MI Jordan
Proceedings of the 29th International Conference on Machine Learning (ICML …, 2012
2792012
Nonparametric factor analysis with beta process priors
J Paisley, L Carin
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
2752009
Non-parametric Bayesian dictionary learning for sparse image representations
M Zhou, H Chen, J Paisley, L Ren, G Sapiro, L Carin
Advances in neural information processing systems, 2295-2303, 2009
256*2009
Removing rain from single images via a deep detail network
X Fu, J Huang, D Zeng, Y Huang, X Ding, J Paisley
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1782017
Compressive sensing on manifolds using a nonparametric mixture of factor analyzers: Algorithm and performance bounds
M Chen, J Silva, J Paisley, C Wang, D Dunson, L Carin
IEEE Transactions on Signal Processing 58 (12), 6140-6155, 2010
1712010
Clearing the skies: A deep network architecture for single-image rain removal
X Fu, J Huang, X Ding, Y Liao, J Paisley
IEEE Transactions on Image Processing 26 (6), 2944-2956, 2017
1662017
Nested hierarchical Dirichlet processes
J Paisley, C Wang, DM Blei, MI Jordan
IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (2), 256-270, 2014
1622014
Topicrnn: A recurrent neural network with long-range semantic dependency
AB Dieng, C Wang, J Gao, J Paisley
arXiv preprint arXiv:1611.01702, 2016
1042016
A fusion-based enhancing method for weakly illuminated images
X Fu, D Zeng, Y Huang, Y Liao, X Ding, J Paisley
Signal Processing 129, 82-96, 2016
992016
Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI
Y Huang, J Paisley, Q Lin, X Ding, X Fu, XP Zhang
Image Processing, IEEE Transactions on 23 (12), 5007-5019, 2014
962014
Music analysis using hidden markov mixture models
Y Qi, JW Paisley, L Carin
Signal Processing, IEEE Transactions on 55 (11), 5209-5224, 2007
802007
The discrete infinite logistic normal distribution
J Paisley, C Wang, D Blei
Bayesian Analysis 7 (2), 235-272, 2012
78*2012
The discrete infinite logistic normal distribution for mixed-membership modeling
J Paisley, C Wang, D Blei
Proceedings of the Fourteenth International Conference on Artificial …, 2011
712011
A stick-breaking construction of the beta process
JW Paisley, AK Zaas, CW Woods, GS Ginsburg, L Carin
Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010
702010
Hidden Markov models with stick-breaking priors
J Paisley, L Carin
IEEE Transactions on Signal Processing 57 (10), 3905-3917, 2009
642009
Combinatorial clustering and the beta negative binomial process
T Broderick, L Mackey, J Paisley, MI Jordan
IEEE transactions on pattern analysis and machine intelligence 37 (2), 290-306, 2014
622014
Hyperspectral image classification with Markov random fields and a convolutional neural network
X Cao, F Zhou, L Xu, D Meng, Z Xu, J Paisley
IEEE Transactions on Image Processing 27 (5), 2354-2367, 2018
562018
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