C. Shekhar, S. Kuttikkad, and R. Chellappa. Knowledge-based integration of IU algorithms. In DARPA Image Understanding Workshop, volume 2, pages 1525--1532, Palm Springs, CA, February 1996. Home/Search Document Details and Download
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Design of Self-Tuning IU Systems - Shekhar, Burlina, Moisan (1997) Self-citation (Shekhar) (Correct)
....of hundreds or even thousands of images. In such cases, the system can be interactively tuned on some representative images, and once satisfactory performance is achieved, can then be used with fixed settings for batch processing of the remaining images in the data set. In a previous paper [ Shekhar et al. 1996 ] we discussed the knowledge based semantic integration of IU algorithms using the OCAPI architecture IU System Self tuning module Evaluation input data Results Knowledge base alternative algorithms parameters stages of processing Execution Selection Repair Initialization Figure 1: ....
....here is the detection of vehicles in an aerial image from the TEC 2 data set. however, necessitates the use of more complex reasoning, since only the final result is available, based on which any algorithm at any stage of the processing may have to be retuned. Previous work, reported in [ Shekhar et al. 1996 ] dealt mainly with the specialist mode. In the present work, the user mode is the primary focus. 3.3 Result evaluation In the user mode, the IU system is tuned based on the evaluation of results by the IA. We can define two types of result evaluation: general and specific. General evaluation ....
C. Shekhar, S. Kuttikkad, and R. Chellappa. Knowledge-based integration of IU algorithms. In DARPA Image Understanding Workshop, volume 2, pages 1525--1532, Palm Springs, CA, February 1996.
Using A Fuzzy Supervisor For Object Extraction Within.. - Agouris, Gyftakis.. (Correct)
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Shekhar C., Kuttikkad S., and Chellappa R., (1996). KnowledgeBased Integration of IU Algorithms. Proceedings of Image Understanding Understanding Workshop, ARPA, vol. 2, pp. 15251532.
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