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Jason J. Corso
Publications List
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tag: hierarchical
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[1]
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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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[2]
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C. Xu, S. Whitt, and J. J. Corso.
Flattening supervoxel hierarchies by the uniform entropy slice.
In Proceedings of the IEEE International Conference on Computer
Vision, 2013.
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[3]
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J. A. Delmerico, P. David, and J. J. Corso.
Building facade detection, segmentation, and parameter estimation for
mobile robot stereo vision.
Image and Vision Computing, 31(11):841--852, 2013.
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[4]
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C. Xu, C. Xiong, and J. J. Corso.
Streaming hierarchical video segmentation.
In Proceedings of European Conference on Computer Vision, 2012.
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[5]
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C. S. Lea and J. J. Corso.
Efficient hierarchical markov random fields for object detection on a
mobile robot.
Technical Report 1111.1599v1, arXiv, November 2011.
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[6]
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J. A. Delmerico, P. David, and J. J. Corso.
Building facade detection, segmentation, and parameter estimation for
mobile robot localization and guidance.
In Proceedings of International Conference on Intelligent Robots
and Systems, 2011.
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[7]
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A. Y. C. Chen and J. J. Corso.
On the effects of normalization in adaptive MRF hierarchies.
In Proceedings of CompImage '10---Computational Modeling of
Objects Presented in Images, 2010.
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[8]
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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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[9]
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J. J. Corso, E. Sharon, S. Dube, S. El-Saden, U. Sinha, and
A. Yuille.
Efficient Multilevel Brain Tumor Segmentation with Integrated
Bayesian Model Classification.
IEEE Transactions on Medical Imaging, 27(5):629--640, 2008.
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[10]
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S. Dube, J. J. Corso, A. Yuille, T. F. Cloughesy, S. El-Saden, and
U. Sinha.
Hierarchical Segmentation of Malignant Gliomas Via Integrated
Contextual Filter Response.
In Proceedings of SPIE Conference on Medical Imaging, 2008.
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[11]
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J. J. Corso, Z. Tu, and A. Yuille.
MRF Labeling with a Graph-Shifts Algorithm.
In Proceedings of International Workshop on Combinatorial Image
Analysis, volume LNCS 4958, pages 172--184, 2008.
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[12]
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J. J. Corso.
Discriminative Modeling by Boosting on Multilevel Aggregates.
In Proceedings of IEEE Conference on Computer Vision and
Pattern Recognition, 2008.
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[13]
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J. J. Corso, A. Yuille, and Z. Tu.
Graph-Shifts: Natural Image Labeling by Dynamic Hierarchical
Computing.
In Proceedings of IEEE Conference on Computer Vision and
Pattern Recognition, 2008.
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[14]
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J. J. Corso, R. S. Alomari, and V. Chaudhary.
Lumbar disc localization and labeling with a probabilistic model on
both pixel and object features.
In Proceedings of Medical Image Computing and Computer Aided
Intervention (MICCAI), volume LNCS 5241 Part 1, pages 202--210, 2008.
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[15]
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J. J. Corso, Z. Tu, A. Yuille, and A. W. Toga.
Segmentation of Sub-Cortical Structures by the Graph-Shifts
Algorithm.
In Proceedings of Information Processing in Medical Imaging
(IPMI), volume LNCS 4584, pages 183--197, 2007.
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[16]
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J. J. Corso, A. L. Yuille, N. L. Sicotte, and A. Toga.
Detection and Segmentation of Pathological Structures by the
Extended Graph-Shifts Algorithm.
In Proceedings of Medical Image Computing and Computer Aided
Intervention (MICCAI), 2007.
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[17]
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J. J. Corso, E. Sharon, and A. L. Yuille.
Multilevel Segmentation and Integrated Bayesian Model Classification
with an Application to Brain Tumor Segmentation.
In Proceedings of Medical Image Computing and Computer Aided
Intervention (MICCAI), volume 2, pages 790--798, 2006.
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