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Filters: Keyword is computational complexity  [Clear All Filters]
2010
Wang, X., A. Wong, and P-H. Ho, "Extended knowledge-based reasoning approach to spectrum sensing for cognitive radio", IEEE Transactions on Mobile Computing, vol. 9, pp. 465 - 478, 2010. PDF icon extended_knowledge-based_reasoning_approach_to_spectrum_sensing_for_cognitive_radio.pdf (3.38 MB)
Liu, L., and P. Fieguth, "Texture classification using compressed sensing", This paper presents a simple, novel, yet very powerful approach for texture classification based on compressed sensing and bag of words model, suitable for large texture database applications with images obtained under unknown viewpoint and illumination. , 2010. PDF icon texture_classification_using_compressed_sensing.pdf (4.52 MB)
2007
N Kachouie, N., and P. Fieguth, "Toward an optimal solution for multitarget tracking", 2007 IEEE International Conference on Image Processing, 2007. PDF icon toward_an_optimal_solution_for_multitarget_tracking.pdf (282.93 KB)
2005
Khellah, F. M., P. Fieguth, M. J. Murray, and M. R. Allen, "Statistical processing of large image sequences", IEEE Transactions on Image Processing, vol. 14, pp. 80 - 93, 2005. PDF icon statistical_processing_of_large_image_sequences.pdf (978.77 KB)
2004
Alexander, S. K., P. Fieguth, and E. Vrscay, "Hierarchical annealing for scientific models", 37th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Montreal, 2004. PDF icon hierarchical_annealing_for_scientific_models.pdf (324.07 KB)
2001
Fieguth, P., "Multiply-rooted multiscale models for large-scale estimation", IEEE Transactions on Image Processing, vol. 10, pp. 1676 - 1686, 2001.
1999
Fieguth, P., "Foveated multiscale models for large-scale estimation", International Conference on Image Processing, 1999.
Ho, T. T., P. Fieguth, and A. S. Wilsky, "Recursive multiscale estimation of space-time random fields", International Conference on Image Processing, 1999. PDF icon recursive_multiscale_estimation_of_space_time_random_fields.pdf (507.15 KB)