By Xu Yuan-hao (auth.), Xilong Qu, Yuhang Yang (eds.)
This two-volume set (CCIS 267 and CCIS 268) constitutes the refereed complaints of the foreign convention on details and enterprise Intelligence, IBI 2011, held in Chongqing, China, in December 2011. The 229 complete papers awarded have been rigorously reviewed and chosen from 745 submissions. The papers handle themes equivalent to communique platforms; accounting and agribusiness; info schooling and academic expertise; production engineering; multimedia convergence; safeguard and belief computing; company instructing and schooling; overseas company and advertising and marketing; economics and finance; and keep an eye on platforms and electronic convergence.
Read Online or Download Information and Business Intelligence: International Conference, IBI 2011, Chongqing, China, December 23-25, 2011. Proceedings, Part II PDF
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Extra info for Information and Business Intelligence: International Conference, IBI 2011, Chongqing, China, December 23-25, 2011. Proceedings, Part II
Qu and Y. ): IBI 2011, Part II, CCIS 268, pp. 7–14, 2012. © Springer-Verlag Berlin Heidelberg 2012 8 X. Liu also emphasized in the teaching must pay attention to intellectual development of students, develop students' creative thinking, develop self-learning ability to guide students to learn how to learn and master the scientific method, life-long learning and work for the foundation . Detection technique will focus on the traditional teaching model re-light study, the leading role of teachers and students of the dominant position of the gap between serious.
Video Google: A text retrieval approach to object matching in videos. In: ICCV, vol. 2, pp. 1470–1477 (October 2003) 11. : Evaluation of color descriptors for object and scene recognition. In: CVPR, pp. 1–8 (2008) 12. : Local features and kernels for classification of texture and object categories: a comprehensive study. International Journal of Computer Vision 73(2), 213–238 (2007) 13. : The PASCAL visual object classes (VOC) challenge. International Journal of Computer Vision 88(2), 303–338 (2010) 14.
Experiments considering some difficulties such as weather, angle of shooting and distance variation. The method has the advantages that it is computing power and memory efficient and that it can handle pattern repetitions in the models. We applied this method successfully on automatic traffic sign recognition. 099s per image). The mainly cause of recognition failure is because SIFT features maybe wrong When a traffic sign is seriously polluted and the sign cannot be recognized. Future work will make the algorithm more robust and efficent.
Information and Business Intelligence: International Conference, IBI 2011, Chongqing, China, December 23-25, 2011. Proceedings, Part II by Xu Yuan-hao (auth.), Xilong Qu, Yuhang Yang (eds.)