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[1]
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C. Xiong, D. M. Johnson, and J. J. Corso.
Active clustering with model-based uncertainty reduction.
IEEE Transactions on Pattern Analysis and Machine
Intelligence, 39(1):5--17, 2017.
Original Version: ArXiv 1402.1783.
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[2]
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D. M. Johnson, C. Xiong, and J. J. Corso.
Semi-supervised nonlinear distance metric learning via forests of
max-margin cluster hierarchies.
IEEE Transactions on Knowledge and Data Engineering,
28(4):1035--1046, 2016.
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[3]
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C. Xiong, W. Chen, G. Chen, D. Johnson, and J. J. Corso.
Adaptive quantization: An information-based approach to learning
binary codes.
In Proceedings of SIAM International Conference on Data
Mining, 2014.
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[4]
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C. Xiong, S. McCloskey, and J. J. Corso.
Latent domains for visual domain adaptation.
In Proceedings of AAAI Conference on Artificial Intelligence,
2014.
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[5]
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P. Das, R. K. Srihari, and J. J. Corso.
Translating related words to videos and back through latent topics.
In Proceedings of Sixth ACM International Conference on Web
Search and Data Mining, 2013.
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[6]
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N. Coffee, J. Gawley, C. W. Forstall, W. J. Scheirer, D. Johnson, J.
J. Corso, and B. Parks.
Modelling the interpretation of literary allusion with machine
learning techniques.
In Proceedings of Digital Humanities, 2013.
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[7]
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D. M. Johnson, C. Xiong, J. Gao, and J. J. Corso.
Comprehensive cross-hierarchy cluster agreement evaluation.
In Proceedings of AAAI Conference on Artificial Intelligence
(Late-Breaking Papers Track), 2013.
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code |
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[8]
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C. Xiong, D. M. Johnson, and J. J. Corso.
Uncertainty reduction for active image clustering via a hybrid
global-local uncertainty model.
In Proceedings of AAAI Conference on Artificial Intelligence
(Late-Breaking Papers Track), 2013.
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[9]
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K. R. Keane and J. J. Corso.
Dynamically mixing dynamic linear models with applications in
finance.
In Proceedings of International Conference on Pattern
Recognition Applications and Methods, 2012.
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[10]
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C. Xiong, D. Johnson, R. Xu, and J. J. Corso.
Random forests for metric learning with implicit pairwise position
dependence.
In Proceedings of ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining, 2012.
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slides |
code |
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[11]
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C. Xiong, D. Johnson, and J. J. Corso.
Spectral active clustering via purification of the k-nearest
neighbor graph.
In Proceedings of European Conference on Data Mining, 2012.
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[12]
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C. Xiong, D. Johnson, and J. J. Corso.
Efficient max-margin metric learning.
In Proceedings of European Conference on Data Mining, 2012.
Winner of Best Paper Award at ECDM 2012.
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[13]
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C. Xiong and J. J. Corso.
Coaction discovery: Segmentation of common actions across multiple
videos.
In Proceedings of Multimedia Data Mining Workshop in Conjunction
with the ACM SIGKDD Conference on Knowledge Discovery and Data Mining
(MDMKDD), 2012.
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[14]
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K. R. Keane and J. J. Corso.
Maintaining prior distributions across evolving eigenspaces: An
application to portfolio construction.
In Proceedings of 11th International Conference on Machine
Learning and Applications, 2012.
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[15]
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H. Z. Girgis, J. J. Corso, and D. Fischer.
On-line hierarchy of general linear models for selecting and ranking
the best predicted protein structures.
In Proceedings of IEEE Conference on Engineering in Medicine and
Biology, volume 1, pages 4949--4953, 2009.
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[16]
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H. Girgis and J. J. Corso.
STP: The Sample-Train-Predict Algorithm and Its Application to
Protein Structure Meta-Selection.
Technical Report 2008-16, University at Buffalo SUNY, 2008.
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