1Huang, T. S., X. S. Zhou. "Image Retrieval with Relevance Feedback: From Heuristic Weight Adjustment to Optimal Learning Methods". Invited Paper ICIP'2001, Greece,2001.
2Haraliek, R. M., K. Shanmugam and I Dinstein, Texture feature for image classification, IEEE Trans. SMC, Nov. 1973.
3W. NiblaekR. Barber and et al. The QBIC Project: Query Images by Content Using Color Texture and Shape". In Proc. SPIE Storage and Retrieval for Imageand Video Database Feb, 1994.
4Sharad MehrotraYong RuiMiehael Ortega- Band Thomas S. Huang,Supporting Content- based Queries over Images in MARS. In Proc. of IEEE Int. Conf. onMultimedia Computing and Systems, 1997.
5John P Eakins and Margaret E Graham. Content - based Image RetrievalA Report to the JISC Technology Applicatious Programme. Institute for Image Data Research University of Northumbria at NeweastleJanuary, 1999.
8Blackhurst, J. , et al. ,2005. An empirically derived agenda of critical research issues for managing supply chain disruptions. International Journal of Production Research,43 (19) ,PP:4067 -4068.
9Mehta, Janak. 2004. Supply Chain Management in a Global Economy. Total Quality Management, vol. 15, No. 5 - 6,841, July - August.
10Anderson, S. , Dekker, H. 2009. Strategic Cost Management in Supply Chains, Part 1: Structural Cost Management. Accounting Horizons Vol. 23, No. 2:203 - 210.