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Prof. Dr. Alexander Strehl - Publications
Selected Publications
| [SG02a] |
Alexander Strehl and Joydeep Ghosh.
Cluster ensembles - a knowledge reuse framework for combining
multiple partitions.
Journal on Machine Learning Research (JMLR), 3:583-617,
December 2002. [ bib | PDF | ps.gz | abstract ] |
| [GSM02] |
Joydeep Ghosh, Alexander Strehl, and Srujana Merugu.
A consensus framework for integrating distributed clusterings under
limited knowledge sharing.
In Proc. NSF Workshop on Next Generation Data Mining, pages
99-108, November 2002. [ bib | PDF | ps.gz | abstract ] |
| [SG02b] |
Alexander Strehl and Joydeep Ghosh.
Cluster ensembles - a knowledge reuse framework for combining
partitionings.
In Proc. Conference on Artificial Intelligence (AAAI 2002),
Edmonton, pages 93-98. AAAI/MIT Press, July 2002. [ bib | PDF | ps.gz | abstract ] |
| [Str02] |
Alexander Strehl.
Relationship-based Clustering and Cluster Ensembles for
High-dimensional Data Mining.
PhD thesis, The University of Texas at Austin, May 2002. [ bib | PDF | abstract | WEB ] |
| [GS02] |
Joydeep Ghosh and Alexander Strehl.
Clustering and visualization of retail market baskets.
In N. R. Pal and L. Jain, editors, Knowledge Discovery in
Advanced Information Systems, AIP. Springer, 2002.
In press. [ bib | PDF | ps.gz | abstract ] |
| [SG03] |
Alexander Strehl and Joydeep Ghosh.
Relationship-based clustering and visualization for high-dimensional
data mining.
INFORMS Journal on Computing, pages 208-230, Spring 2003. [ bib | PDF | ps.gz | abstract ] |
| [SG01] |
Alexander Strehl and Joydeep Ghosh.
Relationship-based visualization of high-dimensional data clusters.
In Proc. Workshop on Visual Data Mining (KDD 2001), San
Francisco, pages 90-99. ACM, August 2001. [ bib | PDF | ps.gz | abstract ] |
| [SG00b] |
Alexander Strehl and Joydeep Ghosh.
A scalable approach to balanced, high-dimensional clustering of
market-baskets.
In Proc. High Performance Computing (HiPC 2000), Bangalore,
volume 1970 of LNCS, pages 525-536. Springer, December 2000. [ bib | PDF | ps.gz | abstract ] |
| [SG00a] |
Alexander Strehl and Joydeep Ghosh.
Clustering guidance and quality evaluation using relationship-based
visualization.
In Proc. ANNIE 2000, St. Louis, volume 10, pages 483-488.
ASME, November 2000. [ bib | PDF | ps.gz | abstract ] |
| [SGM00] |
Alexander Strehl, Joydeep Ghosh, and Raymond J. Mooney.
Impact of similarity measures on web-page clustering.
In Proc. AAAI Workshop on AI for Web Search (AAAI 2000),
Austin, pages 58-64. AAAI/MIT Press, July 2000. [ bib | PDF | ps.gz | abstract ] |
| [SA00b] |
Alexander Strehl and J. K. Aggarwal.
A new Bayesian relaxation framework for the estimation and
segmentation of multiple motions.
In Proc. IEEE Southwest Symposium on Image Analysis and
Interpretation (SSIAI 2000), Austin, pages 21-25. IEEE, April 2000. [ bib | PDF | ps.gz | abstract ] |
| [SG00c] |
Alexander Strehl and Joydeep Ghosh.
Value-based customer grouping from large retail data-sets.
In Proc. SPIE Conference on Data Mining and Knowledge Discovery,
Orlando, volume 4057, pages 33-42. SPIE, April 2000. [ bib | PDF | ps.gz | abstract ] |
| [SA00a] |
Alexander Strehl and J. K. Aggarwal.
MODEEP: A motion-based object detection and pose estimation method
for airborne FLIR sequences.
Machine Vision and Applications (MVA), 11(6):267-276, 2000. [ bib | PDF | ps.gz | abstract ] |
| [GSG99] |
Gunjan K. Gupta, Alexander Strehl, and Joydeep Ghosh.
Distance based clustering of association rules.
In Proc. ANNIE 1999, St. Louis, volume 9, pages 759-764. ASME,
November 1999. [ bib | PDF | ps.gz | abstract ] |
| [SA99] |
Alexander Strehl and J. K. Aggarwal.
Detecting moving objects in airborne forward looking infra-red
sequences.
In Proc. IEEE Workshop on Computer Vision Beyond the Visible
Spectrum (CVPR 1998), Fort Collins, pages 3-12. IEEE, June 1999. [ bib | PDF | ps.gz | abstract ] |
| [Str98] |
Alexander Strehl.
A new Bayesian relaxation algorithm for motion estimation and
segmentation in the presence of two affine motions.
Master's thesis, The University of Texas at Austin, August 1998. [ bib | PDF | abstract ] |
PhD Thesis
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