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Results for: 2016

MCNC: Multi-channel Nonparametric Clustering from Heterogeneous Data

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

2016 / pp. 3633 - 3638 / 23rd International Conference on Pattern Recognition (ICPR 2016)

One-pass Logistic Regression for Label-drift and Large-scale Classification on Distributed Systems

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

2016 / pp. 1113 - 1118 / IEEE International Conference on Data Mining (ICDM)

Budgeted Batch Bayesian Optimization

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

2016 / pp. 1107 - 1112 / IEEE International Conference on Data Mining (ICDM)

Achieving stable subspace clustering by post-processing generic clustering results

D. Pham, O. Arandjelovic, S. Venkatesh

2016 / pp. 2390 - 2396 / 2016 International Joint Conference on Neural Networks (IJCNN)

Exceptional Contrast Set Mining: Moving beyond the deluge of the obvious

D. Nguyen, W. Luo, D. Phung, S. Venkatesh

2016 / pp. 455 - 468 / Proceedings of the 29th Australasian Joint Conference on Artificial Intelligence (AI 2016), Hobart, Australia, December,

Stable Clinical Prediction using Graph Support Vector Machines

I. Kamkar, S. Gupta, C. Li, D. Phung, S. Venkatesh

2016 / pp. 3332 - 3337 / 23rd International Conference on Pattern Recognition (ICPR 2016)