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Second year of Post-Doc down

13 May 2013
Posted by Juan M. Banda

Time surely flies! being very busy and forgetting to update this section of the page. Notable items this year:

SDO Content-based Image Retrieval System is released to the public, find it here:

Journal paper accepted:

J. M. Banda, R. Angryk, P. Martens. “Steps Toward a Large-Scale Solar Image Data Analysis to Differentiate Solar Phenomena”, Solar Physics, Springer, 2012. DOI: 10.1007/s11207-013-0304-x

New conference paper accepted:

J.M. Banda, R. Angryk, P. Martens, "Quantitative Comparison of Linear and Non-linear Dimensionality Reduction Techniques for Solar Image Archives", Proceedings of the 25th International FLAIRS Conference (FLAIRS-25), Marco Island, Florida, May 2012, pp. 376-381.

Collaborations with Data Mining lab members are starting to produce publications:

Schuh, M.A., Angryk, R.A., Karthik Ganesan Pillai, Banda, J.M. & P. C. H. Martens. “A large-scale solar image dataset with labeled event regions”. To appear in Proc. of the International Conference on Image Processing (ICIP) (2013).

Pillai, K-G., Sturlaugson, L., Banda, J.M. & Angryk, R.A. “Extending High-Dimensional Indexing Techniques Pyramid and iMinMax: Lessons Learned”. To appear in Proc. of the 29th British National Conf. on Databases (BNCOD'13), (2013).

K. Ganesan Pillai, R. Angryk, J. M. Banda, M. Schuh, T. Wylie, “Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions”, In 2012 IEEE International Conference on Data Mining Workshops (ICDMW 2012), Brussels, Belgium, December 10-13th, 2012. pp. 805-812 .

P. Martens, R. Angryk, J.M. Banda, K. Ganesan Pillai, M. Schuh, "Filament and Sigmoid Statistics Gathered by Newly Developed Automated Feature Finding Modules", NSO Workshop #26: Solar Origins of Space Weather and Space Climate: Connecting the Interior to the Corona, Sacramento Peak, April 30 - May 4, 2012. Contributed Paper.

For PDF versions of these papers go to the Publications section on this page.

Among other things I have taught an independent study course on CBIR system to two graduate students and be busy writing grant proposals and patent documents.

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