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1 L D Lathauwer, B D Moor, and J Vandewalle, On the best rank-1 and rank-(R1 , R2 , , RN ) approximation of higher-order tensors, SIAM J Matrix Anal Appl 21(4):1324 1342, 2000 2 S Yan, D Xu, Q Yang, L Zhang, X Tang, and H Zhang, Multilinear discriminant analysis for face recognition, IEEE Trans Image Processing, 16(1):212 220, 2007 3 H Lu, J Wang, and K N Plataniotis, A review on face and gait recognition: System, data and algorithms, in Advanced Signal Processing Handbook, 2nd edition, S Stergiopoulos, editor, CRC Press, Boca Raton, FL, 2009, 000 000 4 Y-D Kim and S Choi, Color face tensor factorization and slicing for illumination-robust recognition, in Proceedings of the International Conference on Biometrics, August 2007, pp 19 28 5 K N Plataniotis and A N Venetsanopoulos, Color Image Processing and Applications, SpringerVerlag, Berlin, 2000 6 K W Bowyer, K.

Wrap its instantiation call in an IsDefined() test for existence of the instance and then place this snippet in your Applicationcfm templates Now prefix all former local function calls with ApplicationinstanceName 10 If an instance of the component is to be persisted in the Session scope, it most likely declares at least some instance methods, so you need to add to the component the appropriate InitEntity(), GetEntity(), and FlushEntityToDatabase() functions and to assign a unique lock name (See 22 for details on implementing longlived persistent components) After this procedure is done, place the instantiation call in your template that begins the process requiring the component Now prefix all former local function calls with SessioninstanceName 11 Regression-test the application and fix any problems..

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If you find that, after answering the qualifying questions, some of your existing custom tags are best implemented as functions declared within components, follow these steps: 1. For a custom tag to be a true candidate for having all of its code migrated to a component function, the tag s primary purpose must be to set local variables back in the calling template. Count the number of values set in the caller by the custom tag and then migrate the business logic of the custom tag to a user-defined function.

Chang, and P Flynn, A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition, Comput Vis Image Understanding 101(1):1 15, 2006 7 S Z Li, C Zhao, X Zhu, and Z Lei, 3D + 2D face recognition by fusion at both feature and decision levels, in Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures, October 2005 8 C Liu and H Wechsler, Independent component analysis of gabor features for face recognition, IEEE Trans Neural Networks 14(4):919 928, 2003 9 R Chellappa, A Roy-Chowdhury, and S Zhou, Recognition of Humans and Their Activities Using Video, Morgan & Claypool Publishers, San Rafael, CA, 2005 10 H Lu, K N Plataniotis, and A N Venetsanopoulos, A layered deformable model for gait analysis, in Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, April 2006, pp 249 254 11 N.

The ratio of these two conditional probabilities, the likelihood ratio, is multiplied by the ratio of the base rate frequency and its complement (that is, one minus the base rate) to obtain an updated odds ratio While, in principle, Bayes Theorem provides a vehicle for quantitatively updating a base rate for project speci c factors, in application it requires that the reliability of indicator factors be known in both a false-positive and false-negative way, which is often dif cult to assess Consider again the uncertainty surrounding the possible existence of a fault of modest size in the foundation of a proposed dam site Presume that in the experience of the expert panel, the incidence of such faulting is about 02 with projects in similar geology That is, the base rate, as a rst approximation, is p(fault) = 02.

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