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Results for: Ognjen Arandjelovic

Discovering topic structures of a temporally evolving document corpus

A. Beykikhoshk, O. Arandjelovic, D. Phung, S. Venkatesh

2018 / Vol. 55, pp. 599 - 632 / Knowledge and Information Systems

Analysing the History of Autism Spectrum Disorder using Topic Models

A. Beykikhoshk, O. Arandjelovic, S. Venkatesh, D. Phung

2016 / pp. 762 - 771 / Proceedings of the 3rd International Conference on Data Science and Advanced Analytics (DSAA '16)

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)

Hierarchical Dirichlet process for tracking complex topical structure evolution and its application to autism research literature

A. Beykikhoshk, O. Arandjelovic, S. Venkatesh, D. Phung

2015 / pp. 550 - 562 / Pacific-Asia Conference on Knowledge Discovery and Data Mining

Overcoming data scarcity of Twitter: using tweets as bootstrap with application to autism-related topic content analysis

A. Beykikhoshk, O. Arandjelovic, D. Phung, S. Venkatesh

2015 / pp. 1354 - 1361 / Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015

The adaptable buffer algorithm for high quantile estimation in non-stationary data streams

O. Arandjelovic, D. Pham, S. Venkatesh

2015 / pp. 1 - 7 / 2015 International Joint Conference on Neural Networks (IJCNN)

Efficient and accurate set-based registration of time-separated aerial images

O. Arandjelovic, D. Pham, S. Venkatesh

2015 / Vol. 48, pp. 3466 - 3476 / Pattern Recognition

Groupwise Registration of Aerial Images.

O. Arandjelovic, D. Pham, S. Venkatesh

2015 / pp. 2133 - 2139 / International Joint Conference on Artificial Intelligence (IJCAI)

Stream quantiles via maximal entropy histograms

O. Arandjelovic, D. Pham, S. Venkatesh

2014 / pp. 327 - 334 / International Conference on Neural Information Processing