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(1 - 20 of 53)

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GRUFF 3: Generalizing the domain of a function-based recognition system
Sutton, M., Stark, L., & Bowyer, K. (1994). GRUFF 3: Generalizing the domain of a function-based recognition system. Pattern Recognition, 27(12), 1743-1766. doi:10.1016/0031-3203(94)90091-4
Object recognition through reasoning about functionality
Bowyer, K., Sutton, M., & Stark, L. (2009). Object recognition through reasoning about functionality: A survey of related work. Object Categorization: Computer and Human Perspectives, 129-147.
An automated approach to the initialization of the snakes algorithm for the detection of swimbladder regions in x-ray image data
Gray, J., Reichherzer, T., Sutton, M. A., Touma, J., & Bennett, W. (2015). An automated approach to the initialization of the snakes algorithm for the detection of swimbladder regions in x-ray image data. Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference 18-20 May 2015, Hollywood, Florida, USA, 111-114.
Function-based generic recognition for multiple object categories
Sutton, M., Stark, L., & Bowyer, K. (1993). Function-based generic recognition for multiple object categories. Three Dimensional Object Recognition Systems Volume 1, 447-470.
Temperature tolerance comparisons among juvenile reef fishes from a beachrock nusery in Dry Tortugas National Park
Speaks, J. E., Randall, C. J., Jimenez, A. G., Dabruzzi, T. F., Sutton, M. A., Pomory, C. M., & Bennett, W. A. (2012). Temperature tolerance comparisons among juvenile reef fishes from a beachrock nusery in Dry Tortugas National Park. Florida Scientist, 75(4), 242-248.
Engaging faculty in the assessment process at the University of West Florida
El-Sheikh, E. M., Mbizo, J., Stanny, C. J., Stewart, G. L., Sutton, M. A., White, L. J., & Williams, M. H. (2010). Engaging faculty in the assessment process at the University of West Florida. Coming to Terms With Student Outcomes Assessment : Faculty and administrators’ Journeys to Integrating Assessment in Their Work and Institutional Culture, 178-190.
Development and assessment of protocols for efficient utilization of large-scale digital mammography databases
Sutton, M. A., Marin, A., Sentelle, S., Wooldridge, S., Griffith, P., & Dell, C. (2000). Development and assessment of protocols for efficient utilization of large-scale digital mammography databases. IWDM 2000: 5th International Workshop on Digital Mammography: Proceedings of the Workshop June I 1-14, 2000 Toronto, Canada, 777-784.
Enhancement and analysis of digital mammograms using fuzzy models
Sutton, M. A., & Bezdek, J. (1998). Enhancement and analysis of digital mammograms using fuzzy models. SPIE Proceedings 3240: 26th Applied Imagery and Pattern Recognition (AIPR): Workshop Exploiting New Image Sources and Sensors, 179-190. doi:10.1117/12.300055
Image segmentation by fuzzy clustering
Sutton, M. A. (2009). Image segmentation by fuzzy clustering: Methods and Issues. Handbook of Medical Image Processing and Analysis, Second Edition, 91-111.
Metabolic thermal sensitivity optimizes sea krait amphibious physiology
Dabruzzi, T. F., Sutton, M. A., & Bennett, W. A. (2012). Metabolic thermal sensitivity optimizes sea krait amphibious physiology. Herpetologica, 68(2), 218-225. doi:10.1655/HERPETOLOGICA-D-11-00077.1
On combining multiple classifiers by fuzzy tempates
Kuncheva, L. I., Bezdek, J. C., & Sutton, M. A. (1998). On combining multiple classifiers by fuzzy tempates. 1998 Conference of the North American Fuzzy Information Processing Society, NAFIPS : August 20 & 21, 1998, Pensacola Beach, Florida, USA, 193-197.
Development and assessment of bioinformatics tools for species conservation and habitat management
Sutton, M. A., Deneke, L., Eme, J., Bennett, W., & Wray, F. (2003). Development and assessment of bioinformatics tools for species conservation and habitat management. Proceedings of the 2003 IEEE Bioinformatics Conference: CSB 2003, 11-14 August, 2003, Stanford, California, USA, 654-655.
Internet use and misuse
Rotunda, R. J., Kass, S. J., Sutton, M. A., & Leon, D. T. (2003). Internet use and misuse: Preliminary findings from a new assessment instrument. Behavior Modification, 27(4), 484-504. doi:10.1177/0145445503255600
A pilot study in the analysis of digitized mammograms
Sutton, M. A., Sentelle, S., & Rotunda, R. J. (2002). A pilot study in the analysis of digitized mammograms: Combining academic and commercial results on a public database. Journal of Women’s Imaging, 4(1), 7-12. doi:10.1097/00130747-200202000-00004
Evidence for control of cutaneous oxygen uptake in the Yellow-Lipped Sea Krait Laticauda colubrina
Dabruzzi, T., Sutton, M. A., Fangue, N. A., & Bennett, W. A. (2016). Evidence for control of cutaneous oxygen uptake in the Yellow-Lipped Sea Krait Laticauda colubrina. Journal of Herpetology, 50(4), 621-626.
Visual engagement techniques for motivating students and just-in-time tutoring
Sutton, M. A., Okafor, A., & Goodson, L. (2020). Visual engagement techniques for motivating students and just-in-time tutoring. Joint Meetings of the Florida Section of Mathematical Association of America (MAA) and the Florida Two-Year College Mathematics Association (FTYCMA): University of West Florida, Pensacola, FL., 27-27.
Imaging and communication in medical and public health infomatics
Sutton, M. A., Mbizo, J., Yoshihashi, A., & Hoyt, R. E. (2009). Imaging and communication in medical and public health infomatics: Current issues and emerging trends. Handbook of Medical Image Processing and Analysis, 895-907.
Function from visual analysis and physical interaction
Sutton, M., Stark, L., & Bowyer, K. (1998). Function from visual analysis and physical interaction: a methodology for recognition of generic classes of objects. Image and Vision Computing, 16, 745-763.
Exploiting context in function-based reasoning
Sutton, M. A., Stark, L., & Hughes, K. (2002). Exploiting context in function-based reasoning. Sensor Based Intelligent Robots, 357-373.
Function-based reasoning for goal-oriented image segmentation
Sutton, M. A., & Stark, L. (2008). Function-based reasoning for goal-oriented image segmentation. Towards Affordance-Based Robot Control, 159-172.

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