Get KI 2008: Advances in Artificial Intelligence: 31st Annual PDF

By Randy Goebel (auth.), Andreas R. Dengel, Karsten Berns, Thomas M. Breuel, Frank Bomarius, Thomas R. Roth-Berghofer (eds.)

ISBN-10: 354085844X

ISBN-13: 9783540858447

ISBN-10: 3540858458

ISBN-13: 9783540858454

This ebook constitutes the completely refereed court cases of the 31th Annual German convention on man made Intelligence, KI 2008, held in Kaiserslautern, Germany, September 2008.

The 15 revised complete papers awarded including 2 invited contributions and 30 posters have been conscientiously reviewed and chosen from seventy seven submissions. The papers disguise vital parts akin to trend acceptance, multi-agent structures, computing device studying, usual language processing, constraint reasoning, wisdom illustration and administration, making plans, and temporal reasoning.

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Read Online or Download KI 2008: Advances in Artificial Intelligence: 31st Annual German Conference on AI, KI 2008, Kaiserslautern, Germany, September 23-26, 2008. Proceedings PDF

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Additional info for KI 2008: Advances in Artificial Intelligence: 31st Annual German Conference on AI, KI 2008, Kaiserslautern, Germany, September 23-26, 2008. Proceedings

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Springer, Heidelberg (2002) 23. hl=en&answer=68480 24. com/MapCruncher/ 25. Yahoo! com/pipes/ 26. net/ 27. com/ 28. com/gme/ 29. org/trac 30. html 31. com/ 32. com/web/ Navidgator - Similarity Based Browsing for Image and Video Databases Damian Borth, Christian Schulze, Adrian Ulges, and Thomas M. org Abstract. A main problem with the handling of multimedia databases is the navigation through and the search within the content of a database. The problem arises from the difference between the possible textual description (annotation) of the database content and its visual appearance.

The binary tree structure enables us to efficiently follow a keyframe from the root of the tree, which contains the entire database, to the leaf of the tree, which only contains the selected keyframe. With every zoom in step, the system is presenting a more similar subtree considering the selected keyframe and leaving out the frames, which are less similar to the selected keyframe. The zoom out step, lets the system present a tree containing more dissimilar keyframes, which might be useful for refinement of the query.

Estimating the dimension of a model. Annals of Statistics 6(2), 461– 464 (1978) 17. : Keyframe extraction for video taggging and summarization. In: Informatiktage 2008, pp. 45–48 (2008) 18. : Content-based video tagging for online video portals. In: MUSCLE/Image-CLEF Workshop (2007) 19. : Textual features corresponding to visual perception. IEEE Transactions on Systems, Man, and Cybernetics SMC-8(6) (1978) Automating Interactive Protocol Verification Lassaad Cheikhrouhou1 , Andreas Nonnengart1 , Werner Stephan1 , Frank Koob2 , and Georg Rock3 1 German Research Center for Artificial Intelligence, DFKI GmbH 2 Federal Office for Information Security, BSI 3 PROSTEP IMP GmbH Abstract.

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KI 2008: Advances in Artificial Intelligence: 31st Annual German Conference on AI, KI 2008, Kaiserslautern, Germany, September 23-26, 2008. Proceedings by Randy Goebel (auth.), Andreas R. Dengel, Karsten Berns, Thomas M. Breuel, Frank Bomarius, Thomas R. Roth-Berghofer (eds.)


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