References
- D. Cornish and D. Dukette, The Essential 20: Twenty Components of an Excellent Health Care Team. Pittsburgh, PA: RoseDog Books, 2009.
- D. Y. Kim, G. K. Park, and H. Y. Kim, "A study on the ship information fusion with AIS and ARPA radar using by blackboard system," Journal of Korean Institute of Intelligent Systems, vol. 24, no. 1, pp. 16-21, 2014. http://dx.doi.org/10.5391/JKIIS.2014.24.1.016
- H. Lee, E. K. Kim, and S. Kim, "A study on fuzzy logic based clustering method for radar data analysis," Journal of Korean Institute of Intelligent Systems, vol. 25, no. 3, pp. 217-222, 2015. http://dx.doi.org/10.5391/JKIIS.2015.25.3.217
- Lloyd's Register Rulefinder, "COLREGS: International Regulations for Preventing Collisions at Sea," Available http://www.mar.ist.utl.pt/mventura/Projecto-Navios-I/IMO-Conventions%20(copies)/COLREG-1972.pdf
- H. J. Kim and J. H. Choi, "The phase error correction scheme using the iterative signal bandwidth estimation in SAR imaging system," in Proceedings of the Korean Institute of Intelligent Systems Conference, Daegu, Korea, 2000, pp. 463-646.
- F. C. Monteiro and A. Campilho, "Watershed framework to region-based image segmentation," presented at the 2008 19th International Conference on Pattern Recognition, Tampa, FL, December 8-11, 2008, pp. 1-4. http://dx.doi.org/10.1109/icpr.2008.4761587
- G. Fritz, C. Seifert, L. Paletta, and H. Bischof, "Attentive object detection using an information theoretic saliency measure," in Attention and Performance in Computational Vision, L. Paletta, J. K. Tsotsos, E. Rome, and G. Humphreys, Eds. Berlin: Springer-Verlag, 2005, pp. 29-41.
- A. McAndrew, Introduction to Digital Image Processing with Matlab, 1st ed. Boston: Thompson Course Technology, 2004.
- Y. H. Baek and S. R. Moon, "Color edge detection using variable template operator, International Journal of Fuzzy Logic and Intelligent Systems, vol. 6, no. 2, pp. 116-120, 2006. http://dx.doi.org/10.5391/ijfis.2006.6.2.116
- R. Milanese, S. Gil, and T. Pun, "Attentive mechanisms for dynamic and static scene analysis," Optical Engineering, vol. 34, no. 8, pp. 2428-2434, 1995. http://dx.doi.org/10.1117/12.205668
- S. T. Seo, K. Sivakumar, and S. H. Kwon, "Dempster-Shafer's evidence theory-based edge detection," International Journal of Fuzzy Logic and Intelligent Systems, vol. 11, no. 1, pp. 19-24, 2011. http://dx.doi.org/10.5391/ijfis.2011.11.1.019
- R. M. Haralick, S. R. Sternberg, and X. Zhuang, "Image analysis using mathematical morphology," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 9, no. 4, pp. 532-550, 1987. http://dx.doi.org/10.1109/TPAMI.1987.4767941
- N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2005, San Diego, CA, 2005, pp. 886-893. http://dx.doi.org/10.1109/CVPR.2005.177
- H. Eum, C. Yoon, H. Lee, and M. Park, "Continuous human action recognition using depth-MHI-HOG and a spotter model," Sensors, vol. 15, no. 3, pp. 5197-5227, 2015. http://dx.doi.org/10.3390/s150305197
- C. G. Soares and T. Moan, "Model uncertainty in the long-term distribution of wave-induced bending moments for fatigue design of ship structures," Marine Structures, vol. 4, no. 4, pp. 295-315, 1991. http://dx.doi.org/10.1016/0951-8339(91)90008-y
- P. F. Chen and C. H. Huang, "An inverse hull design problem in optimizing the desired wake of ship," Journal of Ship Research, vol. 46, no. 2, pp. 138-147, 2002.
- H. Byun and S. W. Lee, "A survey on pattern recognition applications of support vector machines," International Journal of Pattern Recognition and Artificial Intelligence, vol. 17, no. 3, pp. 459-486, 2003. http://dx.doi.org/10.1142/s0218001403002460
- H. Eum, J. Lee, C. Yoon, and M. Park, "Human action recognition for night vision using temporal templates with infrared thermal camera," in Proceedings of 2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), Jeju, Korea, 2013, pp. 617-621. http://dx.doi.org/10.1109/URAI.2013.6677407
- C. C. Chang and C. J. Lin, "LIBSVM: a library for support vector machines," ACM Transactions on Intelligent Systems and Technology, vol. 2, no. 3. pp. 1-27, 2011. http://dx.doi.org/10.1145/1961189.1961199
- F. Perez-Cruz, J. Weston, D. J. L. Herrmann, and B. Scholkopf, "Extension of the nu-SVM range for classification," in Advances in Learning Theory: Methods, Models and Applications, J. Suykens, G. Horvath, S. Basu, C. Micchelli, and J. Vandewalle, Eds. Amsterdam: IOS Press, 2003, pp. 179-196.
- Y. Chen, X. S. Zhou, and T. S. Huang, "One-class SVM for learning in image retrieval," in Proceedings of 2001 International Conference on Image Processing, Thessaloniki, Greece, 2001, pp. 34-37. http://dx.doi.org/10.1109/icip.2001.958946
- J. Park, J. Kim, H. Lee, and D. Park, "One-class support vector learning and linear matrix inequalities," International Journal of Fuzzy Logic and Intelligent Systems, vol. 3, no. 1, pp. 100-104, 2003. http://dx.doi.org/10.5391/ijfis.2003.3.1.100
- D. M. Powers, "Evaluation: from precision, recall and F-measure to ROC, informedness, markedness & correlation," Journal of Machine Learning Technologies, vol. 2, no. 1, pp. 37-63. 2011.
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