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8 Aug 2005: 01. 20. 24. 2.5. 2. 1.5. 1. 0.5. 0. 0.5. 1. ... IEEE Conference on Computer Vision and PatternRecognition, pages 313–320, 2003. [20] B.

9 Aug 2005: In particular we use a 40-20-40 thresholdcriterion which dictates that an output is only correct if it is greater than 0. ... Back-propagation networks have been used to solvethe problem [12] using a 2-5-5-1 network with shortcut connections between

20 Apr 2005: the same number of data).Fig. 20 shows the mean CPU utilization of each algorithm. ... 20, no. 10, pp. 1025-1039, Oct. 1998. [11] M. Isard and A.

26 Sep 2005: a) Noise mean n=0. 10 0 10 20 300. 0.05. 0.1. ... Iterative PMC (IPMC) and data-driven PMC (DPMC) aim to resolve this problem [20].

9 Aug 2005: 0.8. 1. x. y(x). 0 20. 0.02. 0.04. 0.06. 0.08. x. ... y(x. )f(x. ))2. 0 20. 0.2. 0.4. 0.6. 0.8. 1. x.

9 Aug 2005: 600. 700. 800. 900. 1000. 0 10 20 30 40 50 60 70 80 90 100. ... 40. -20. 0. 20. 40. 60. 80. 100. 500 1000 1500 2000 2500 3000 3500 4000.

9 Aug 2005: Linear moments method. Buffon transform method. Proposed method. 0 5 10 15 20 25 30 35 4020. ... Buffon transform method. Proposed method. 0 10 20 30 40 50 60 70 80 9020.

9 Aug 2005: Typical values. 20. of lie between -0.5 rad and 0.5 rad, or and. ... perspective projection. Int. Journal of Computer Vision, 31(1):31–50, February 1999. [20] T.

24 May 2005: However, the methodology of [13] is not confined to standardsimplices. Here, we obtain a convenient partitioning M of space as Delaunaytetrahedrisation [20] of the vertex-set (2 Z3).

9 Aug 2005: 4 5. #. 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.20.