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Results for: 2016

Sparse adaptive multi-hyperplane machine

K. Nguyen, T. Le, V. Nguyen, D. Phung

2016 / pp. 27 - 39 / Pacific-Asia Conference on Knowledge Discovery and Data Mining

Budgeted Semi-supervised Support Vector Machine.

T. Le, P. Duong, M. Dinh, T. Nguyen, V. Nguyen, D. Q. Phung

2016 / UAI

Clustering for point pattern data

N. Tran, B. Vo, D. Phung, B. Vo

2016 / pp. 3174 - 3179 / 2016 23rd International Conference on Pattern Recognition (ICPR)

Model-based classification and novelty detection for point pattern data

B. Vo, N. Tran, D. Phung, B. Vo

2016 / pp. 2622 - 2627 / 2016 23rd International Conference on Pattern Recognition (ICPR)

Distributed data augmented support vector machine on spark

T. Nguyen, V. Nguyen, T. Le, D. Phung

2016 / pp. 498 - 503 / 2016 23rd International Conference on Pattern Recognition (ICPR)

Learning Multifaceted Latent Activities from Heterogeneous Mobile Data

T. Nguyen, V. Nguyen, T. Nguyen, S. Venkatesh, M. Kumar, D. Phung

2016 / pp. 389 - 398 / 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA)

Outlier Detection on Mixed-Type Data: An Energy-based Approach

K. Do, T. Tran, D. Phung, S. Venkatesh

2016 / pp. 111 - 125 / International Conference on Advanced Data Mining and Applications (ADMA 2016)

Stabilizing Linear Prediction Models using Autoencoder

S. Gopakumar, T. Tran, D. Phung, S. Venkatesh

2016 / pp. 651 - 663 / 12th International Conference on Advanced Data Mining and Applications (ADMA)

Modelling multilevel data in multimedia: A hierarchical factor analysis approach

S. Gupta, D. Phung, S. Venkatesh

2016 / Vol. 75, pp. 4933 - 4955 / Multimedia tools and applications

Differentially Private Multi-task Learning

S. Gupta, S. Rana, S. Venkatesh

2016 / pp. 101 - 113 / Intelligence and Security Informatics: 11th Pacific Asia Workshop. PAISI 2016, Auckland, New Zealand, April 19, 2016, Proceedings

Think globally act locally: a local strategy for Bayesian optimization

V. Nguyen, S. Gupta, S. Rana, C. Li, S. Venkatesh

2016 / Workshop on Bayesian Optimization at Neural Information Processing Systems (NIPS).