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Crash Scene Re-Generation
Using Structural Hidden Markov Models
Professor Djamel Bouchaffra (Advisor)
Raef Aidibi (Ph.D. Student)
Computer Science & Engineering 131 Dodge Hall
Phone: 248-370-2242, email: [email protected]
The National Transportation Safety Board has
recommended that Automobile Manufacturers
and the National Highway Traffic Safety
Administration work cooperatively to gather
information on automotive crashes, using
collision sensing and recording devices.
[National Transportation Safety Board Symposium On
Recorders]
6 – References
1.
D. Bouchaffra and J. Tan, "Structural Hidden Markov Models using a Relation of Equivalence: Application
to Automotive Designs", in Data Mining and Knowledge Discovery Journal, Springer-V, 2005
2.
D. Bouchaffra and J. Tan, "Introduction to Structural Hidden Markov Models: Application to Handwritten
Numeral Recognition", Intelligent Data Analysis Journal, IDA, Editor-in-Chief: A. Famili, Vol., 10:1, IOS
Press, 2006
3.
D. Bouchaffra and J. Tan, "Structural Hidden Markov Model and Its Application in Automotive Industry",
Enterprise Information Systems V, Camp, O.; Filipe, J.B.; Hammoudi, S.; Piattini, M.G. (Eds.), XIV, 332 p.,
Hardcover, ISBN: 1-4020-1726-X, Published by Springer, 2004
4.
Djamel Bouchaffra and Jun Tan, "Introduction to Structural HMM and it's Application in Pattern
Classification", ANNIE'2004, Smart Engineering System Design-Neural Network, Fuzzy Logic,
Evolutionary Programming, Complex Systems and Artificial Life, Nov. 7-10, 2004, University of MissouriRolla.
5.
Djamel Bouchaffra and Jun Tan, "Introduction to the Concept of Structural HMM: Application to Mining
Customers' Preferences for Automotive Designs", The 17th International Conference on Pattern
Recognition (ICPR) Cambridge, United Kingdom, 23-26 August, 2004 (Proceedings Published by IEEE
Computer Society).
6.
Raef Aidibi, "Introduction to Hidden Markov Models Decision Processes (HMMDP)", International
Computer System and Information Technology, ICSIT'05 (IEEE/ CDTA) July 19-22, 2005 Algiers