Biblio
Filters: Author is Jing Qian [Clear All Filters]
Graph-based Learning with Unbalanced Clusters. CoRR. abs/1205.1496
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2012.
New statistic in P-value estimation for anomaly detection. {IEEE} Statistical Signal Processing Workshop, {SSP} 2012, Ann Arbor, MI, USA, August 5-8, 2012. :393–396.
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2012.
A new one-class SVM for anomaly detection. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2013, Vancouver, BC, Canada, May 26-31, 2013. :3567–3571.
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2013.
Efficient Minimax Signal Detection on Graphs. Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada. :2708–2716.
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2014.
Anomalous cluster detection. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2014, Florence, Italy, May 4-9, 2014. :3854–3858.
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2014.
Spectral clustering with imbalanced data. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2014, Florence, Italy, May 4-9, 2014. :3057–3061.
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2014.
Connected Sub-graph Detection. Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2014, Reykjavik, Iceland, April 22-25, 2014. 33:796–804.
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2014.
Learning Efficient Anomaly Detectors from K-NN Graphs. Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2015, San Diego, California, USA, May 9-12, 2015. 38
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2015.
Clustering and Community Detection with Imbalanced Clusters. CoRR. abs/1608.07605
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2016.
Learning Minimum Volume Sets and Anomaly Detectors from KNN Graphs. CoRR. abs/1601.06105
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2016.
Clustering and Community Detection With Imbalanced Clusters. {IEEE} Trans. Signal and Information Processing over Networks. 3:61–76.
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2017.