Hung Hai Bui

According to our database1, Hung Hai Bui authored at least 67 papers between 1996 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2018
\mathttSpectralLeader : Online Spectral Learning for Single Topic Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Robust Locally-Linear Controllable Embedding.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
SpectralFPL: Online Spectral Learning for Single Topic Models.
CoRR, 2017

Hierarchical semi-Markov conditional random fields for deep recursive sequential data.
Artif. Intell., 2017

Bottleneck Conditional Density Estimation.
Proceedings of the 34th International Conference on Machine Learning, 2017

Multilevel Clustering via Wasserstein Means.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Scalable Nonparametric Bayesian Multilevel Clustering.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Graphical Model Sketch.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Practical Linear Models for Large-Scale One-Class Collaborative Filtering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Architectures for Activity Recognition and Context-Aware Computing.
AI Mag., 2015

A Bayesian Nonparametric Approach to Multilevel Regression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Learning Conditional Latent Structures from Multiple Data Sources.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Efficient Thompson Sampling for Online Matrix-Factorization Recommendation.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
MCMC for Hierarchical Semi-Markov Conditional Random Fields.
CoRR, 2014

Human Activity Learning and Segmentation using Partially Hidden Discriminative Models.
CoRR, 2014

Boosted Markov Networks for Activity Recognition.
CoRR, 2014

Lifted Tree-Reweighted Variational Inference.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
The AAAI-13 Conference Workshops.
AI Mag., 2013

Automorphism Groups of Graphical Models and Lifted Variational Inference.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Organizers.
Proceedings of the Plan, 2013

2011
Efficient Methods for Lifted Inference with Aggregate Factors.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Bayesian Minimax Estimation of the Normal Model With Incomplete Prior Covariance Matrix Specification.
IEEE Trans. Inf. Theory, 2010

Efficient variable elimination for semi-structured simple temporal networks with continuous domains.
Knowl. Eng. Rev., 2010

2009
Efficient duration and hierarchical modeling for human activity recognition.
Artif. Intell., 2009

Efficient Online Learning and Prediction of Users' Desktop Actions.
Proceedings of the IJCAI 2009, 2009

Prediction and Discovery of Users' Desktop Behavior.
Proceedings of the Human Behavior Modeling, 2009

2008
Recovering Social Networks From Massive Track Datasets.
Proceedings of the 9th IEEE Workshop on Applications of Computer Vision (WACV 2008), 2008

Learning Discriminative Sequence Models from Partially Labelled Data for Activity Recognition.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Logical Hierarchical Hidden Markov Models for Modeling User Activities.
Proceedings of the Inductive Logic Programming, 18th International Conference, 2008

A context-aware personal desktop assistant.
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

The Hidden Permutation Model and Location-Based Activity Recognition.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2006
Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Recognising Behaviours of Multiple People with Hierarchical Probabilistic Model and Statistical Data Association.
Proceedings of the British Machine Vision Conference 2006, 2006

2005
A Probabilistic Framework for Extracting Narrative Act Boundaries and Semantics in Motion Pictures.
Multim. Tools Appl., 2005

Robust Recognition and Segmentation of Human Actions Using HMMs with Missing Observations.
EURASIP J. Adv. Signal Process., 2005

Topic transition detection using hierarchical hidden Markov and semi-Markov models.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

Learning and Detecting Activities from Movement Trajectories Using the Hierarchical Hidden Markov Models.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Using Interaction Signatures to Find and Label Chairs and Floors.
IEEE Pervasive Comput., 2004

Using multiple windows to track concept drift.
Intell. Data Anal., 2004

Content Structure Discovery in Educational Videos Using Shared Structures in the Hierarchical Hidden Markov Models.
Proceedings of the Structural, 2004

Learning People Movement Model from Multiple Cameras for Behaviour Recognition.
Proceedings of the Structural, 2004

Classifying Human Actions Using an Incomplete Real-Time Pose Skeleton.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Explicit State Duration HMM for Abnormality Detection in Sequences of Human Activity.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Segmentation of Intentional Human Gestures for Sports Video Annotation.
Proceedings of the 10th International Multimedia Modeling Conference (MMM 2004), 2004

Human Action Segmentation via Controlled Use of Missing Data in HMMs.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Automatically learning structural units in educational videos with the hierarchical hidden markov models.
Proceedings of the 2004 International Conference on Image Processing, 2004

Learning Hierarchical Hidden Markov Models with General State Hierarchy.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Object Labelling from Human Action Recognition.
Proceedings of the First IEEE International Conference on Pervasive Computing and Communications (PerCom'03), 2003

Recognition of Human Activity through Hierarchical Stochastic Learning.
Proceedings of the First IEEE International Conference on Pervasive Computing and Communications (PerCom'03), 2003

A General Model for Online Probabilistic Plan Recognition.
Proceedings of the IJCAI-03, 2003

Indexing narrative structure and semantics in motion pictures with a probabilistic framework.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Recognising and Monitoring High-Level Behaviours in Complex Spatial Environments.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002
Policy Recognition in the Abstract Hidden Markov Model.
J. Artif. Intell. Res., 2002

Hierarchical Monitoring of People's Behaviors in Complex Environments Using Multiple Cameras.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Hierarchical Recognition of Intentional Human Gestures for Sports Video Annotation.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001
Tracking and Surveillance in Wide-Area Spatial Environments Using the Abstract Hidden Markov Model.
Int. J. Pattern Recognit. Artif. Intell., 2001

2000
A Probabilistic Framework for Tracking in Wide-Area Environments.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

On the Recognition of Abstract Markov Policies.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
Learning Other Agents' Preferences in Multi-Agent Negotiation Using the Bayesian Classifier.
Int. J. Cooperative Inf. Syst., 1999

Layered dynamic probabilistic networks for spatio-temporal modelling.
Intell. Data Anal., 1999

1997
A Framework for Coordination and Learning among Teams of Agents.
Proceedings of the Agents and Multi-Agent Systems Formalisms, 1997

Optimal Communication Among Team Members.
Proceedings of the Advanced Topics in Artificial Intelligence, 1997

1996
Learning other Agents' Preferences in Multiagent Negotiation.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996


  Loading...