Selected Papers
Liu, H., A. Mandvikar, and P.G. Foschi, in press. An active learning approach to Egeria densa detection in digital imagery, chapter in New Generation of Data Mining Applications, IEEE Press.
Pagan, K.L., A. Tabazadeh, K. Drdla, M.E. Hervig, S.D. Eckermann, E.V. Browell, M.J. Legg, and P.G. Foschi, in press. Observational evidence against leewave generation of NAT clouds in early December 1999 within the Arctic vortex, Journal of Geophysical Research (Atmospheres) .
Foschi, P.G., D. Kolippakkam, and H. Liu, 2003. Feature selection for image data via learning, Joint Conference on Information Sciences (JCIS 2003-IMMCN 2003) , 26-30 September 2003, Cary , NC . [ invited paper ]
Liu, H., A. Mandvikar, P.G. Foschi, and K. Torkkola, 2003. Active learning with ensembles for image classification, International Joint Conference on Artificial Intelligence (IJCAI2003) , 9-15 August 2003, Acapulco, Mexico.
Foschi, P.G, D. Kolippakkam, H. Liu, and A. Mandvikar, 2002. Feature extraction for image mining, Proceedings of 8 th International Workshop on Multimedia Information Systems , 30 October-1 November 2002, Tempe , Arizona , pp. 103-109.
Foschi, P.G., and H. Liu, 2002. Active learning for classifying a spectrally variable subject, Proceedings of the 2 nd Pattern Recognition for Remote Sensing Workshop (PRRS2002) , 16 August 2002, Niagara Falls, Canada, pp. 115-124.
Foschi, P. G. and K. L. Pagan, 2002. Toward a polar stratospheric cloud climatology using Advanced Very High Resolution Radiometer thermal infrared data, Canadian Journal of Remote Sensing , 28, 2, 187-195.
Hervig , M.E. , K.L. Pagan, and P.G. Foschi, 2001. Analysis of PSC measurements from AVHRR, Journal of Geophysical Research (Atmospheres), 106: 10,363-10,374.
Petrou, M., and P.G. Foschi, 1999. Confidence in linear spectral unmixing of single pixels, IEEE Transactions in Geoscience and Remote Sensing, 37(1): 624-626.
Petrou, M., and P.G. Foschi, 1997. Fuzzy spectral unmixing of pixels in remote sensing, Proceedings of the European Symposium on Intelligent Techniques , 20-22 March 1997, Bari, Italy, European Network in Uncertainty Techniques Developments for Use in Information Technology (ERUDIT) and European Commission DG III Industry-Esprit Programme, pp. 161-165. [ invited paper ]
Foschi, P.G., and D.K. Smith, 1997. Detecting subpixel woody vegetation in digital imagery using two artificial intelligence approaches, Photogrammetric Engineering and Remote Sensing , 63(5): 493-500.
Foschi, P.G., K.L. Pagan, O. Garcia, D.K. Smith, S.E. Gaines, and R.S. Hipskind, 1996. Using back-propagation neural networks to analyze hyperspatial and hypertemporal data to detect polar stratospheric clouds over Antarctica, Proceedings of the Second International Airborne Remote Sensing Conference and Exhibition, 24-27 June 1996, San Francisco, CA, Environmental Research Institute of Michigan. Vol. III, pp. 249-250. [ ERIM Best of Session Award for interactive poster]
Garcia, O., K.L. Pagan, P.G. Foschi, S.E. Gaines, and R.S. Hipskind, 1995. Detection of polar stratospheric clouds over Antarctica using AVHRR images obtained at Palmer Station during August 1992, Polar Record, 31(177): 211-226.
Foschi, P.G., 1994. A geometric approach to a mixed pixel problem: detecting subpixel woody vegetation, Remote Sensing of Environment, 50: 317-327. |
