引用次数
引用: 13,809
H-指数: 49
I10-指数 : 203
出版物: 459
Narrative structure analysis with education and training videos for e-learning
Quoc Dinh Phung , C. Dorai , S. Verikatesh
international conference on pattern recognition 2 835 -838
6
2002
A probabilistic model with parsinomious representation for sensor fusion in recognizing activity in pervasive environment
S Venkatesh , HH Bui , DQ Phung , DT Tran
18th International Conference on Pattern Recognition (ICPR'06) 3 168 -172
10
2006
Adaboost.MRF: Boosted markov random forests and application to multilevel activity recognition
TT Truyen , DQ Phung , HH Bui , S Venkatesh
CVPR'06
27
2006
Degradation of nitrobenzene by persulfate activated with zero-valent iron
TV Chung , TQ Anh , DQ Phung , TD Luong
Asian Journal of Chemistry 24 ( 3) 1371 -1371
6
2012
Study on the multiligand complex in the system PAN-Au (III) H~ 2C~ 2O~ 4 by extraction spectrophotometric method
HV Quy , T Van , DQ Phung ,
TAP CHI HOA HOC 37 ( 4) 37 -40
1999
Factorial Multi-Task Learning : A Bayesian Nonparametric Approach
Sunil Gupta , Svetha Venkatesh , Dinh Phung
international conference on machine learning 657 -665
24
2013
Indoor location prediction using multiple wireless received signal strengths
Kha Tran , Svetha Venkatesh , Brett Adams , Dinh Phung
australasian data mining conference 187 -192
13
2008
A nonparametric Bayesian Poisson gamma model for count data
Sunil Kumar Gupta , Svetha Venkatesh , Dinh Phung
international conference on pattern recognition 1815 -1818
8
2012
Multi-modal abnormality detection in video with unknown data segmentation
Duc Son Pham , Santu Rana , Svetha Venkatesh , Tien Vu Nguyen
international conference on pattern recognition 1322 -1325
5
2012
Data-mining Twitter and the autism spectrum disorder: a pilot study
Ognjen Arandjelovic , Terry Caelli , Adham Beykikhoshk , Svetha Venkatesh
advances in social networks analysis and mining 349 -356
33
2014
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts
Hung Bui , Tien Vu Nguyen , Xuanlong Nguyen , Dinh Phung
international conference on machine learning 288 -296
18
2014
A bayesian nonparametric joint factor model for learning shared and individual subspaces from multiple data sources
Sunil Kumar Gupta , Dinh Quoc Phung , Svetha Venkatesh
siam international conference on data mining 200 -211
15
2012
Faster Training of Very Deep Networks Via p-Norm Gates
Svetha Venkatesh , Truyen Tran , Dinh Phung , Trang Pham
arXiv: Machine Learning
2016
Budgeted semi-supervised support vector machine
Mi Dinh , Vu Nguyen , Trung Le , Tu Dinh Nguyen
uncertainty in artificial intelligence 377 -386
9
2016
Speed up health research through topic modeling of coded clinical data
Vu Nguyen , Svetha Venkatesh , Truyen Tran , Dinh Phung
IAPR 2014: Proceedings of 2nd International Workshop on Pattern Recognition for Healthcare Analytics 1 -4
2
2014
Dual Space Gradient Descent for Online Learning
Vu Nguyen , Trung Minh Le , Tu Dinh Nguyen , Dinh Phung
neural information processing systems 29 4583 -4591
13
2016
Volume 39: proceedings of the sixth Asian conference on machine learning
Hang Li , Dinh Phung
asian conference on machine learning
1
2015
Dual Discriminator Generative Adversarial Nets
Trung Le , Tu Dinh Nguyen , Dinh Phung , Hung Vu
arXiv: Learning
303
2017
Journal of Machine Learning Research: Preface
Hang Li , Dinh Phung
Journal of Machine Learning Research 39 ( 2014)
2
2014
MGAN: Training Generative Adversarial Nets with Multiple Generators
Trung Le , Tu Dinh Nguyen , Dinh Phung , Quan Hoang
international conference on learning representations
206
2018