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To assign each of the list items a separate background image, you need to give them all unique IDs. Because there is no ID field on the list item Property inspector, you ll need to add them directly to the code. Luckily, Dreamweaver has a mechanism that keeps you in Design mode during this process: the Quick Tag Editor. 7. Place your cursor in the first list item, Home and select <li> from the Tag Selector at the bottom of the Document window. Press Ctrl+T (Windows) or Cmd+T (Mac). When the Quick Tag Editor opens, place your cursor before the closing angle bracket, press Space and then enter id= homeNav (Figure 3-45). Press Enter (Windows) or Return (Mac) to confirm your change.

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1. Open the Clip Organizer utility (Start All Programs Microsoft Of ce Microsoft Of ce 2010 Tools Microsoft Clip Organizer). 2. Choose File Add Clips to Organizer From Scanner or Camera. The Insert Picture from Scanner or Camera dialog box opens. 3. Choose the scanner from the Device list, as shown in Figure 24-40.

12. 13. 13. 14. 15. 16.

2 sin (wt)

Alternatively, the natural gradient can be expressed as (W(z)) = (W(z)) WT (z 1 ) W(z). (10.193)

In the first image in Figure 14.29, the problem was fixed by simply selecting the Layer Mask Hides Effects option. This way, rather than constraining the effects, the layer mask fades them out just like a good gradient mask is supposed to do.

S(P' - f + Q )

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A serious problem associated most K-means algorithm implementations that the cluswith is tering process may not converge to an optimal or near-optimal configuration The algorithm can only assure local optimality, which depends on the initial locations the representative of vectors Some initial reference vectors get entrenched in regions of the algorithm s input vector domain with few or no input patterns and may not move to where they are needed To deal with this problem, Rumelhart and Zipser [277] employed leaky learning, where in addition to adjusting the closest reference vector, other reference vectors are also adjusted, but in conjunction with smaller learning rates.

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A Data Matrix is a two-dimensional barcode consisting of black and white "cells" or modules arranged in either a square or rectangular pattern, also known as a ...

Another approach, proposed DeSieno and by is referred to as the conscience algorithm [278] keeps of how many times each reference track vector has been updated response to the algorithm s input vectors if a reference vector in and gets updated or wins too often, will feel guilty and therefore pulls it itself out of the competition Thus, the average rates of winning for each region is equalized and no reference vectors can get entrenched in that region However, these two methods yield partitions that are not optimal with respect to the MSE cost function of Equation 877 The performance of the adaptive K-means algorithm depends on the learning rate p in Equation 878 There is a tradeoff between the dynamic performance (rate of convergence) and the steady-state pegormance (residual deviation from the optimal solution or excess MSE).

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When using a fixed learning rate, it must be sufficiently small for the adaptation to converge The excess MSE is smaller at a lower learning rate However, a smaller learning rate also results in a slower convergence rate Because of this problem, adaptive K-means [279] The traditional adapalgorithms having variable learning rates have been investigated tive K-means algorithm can be improved by incorporating two mechanisms: by biasing the clustering towards an optimal partition and by adjusting the learning rate dynamically The justification and explanation concerning how the two mechanisms are implemented are described in more detail by Chinrungrueng et al [279] Having described the K-means clustering algorithm, which can be used as the RBF network s learning algorithm, we proceed to further explore the RBF network structure in the context of an equalizer in the following Section..

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You need a decent-sized piece of white cardboard to perform white balancing. Follow these steps:

8. Create the knockout by pressing the Delete key to delete the image content beneath the spot color. If the Fill dialog box is displayed instead of just deleting the pixels, select white and click OK.

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