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The method consists in leaving out a few samples from the calibration data set and calibrating the model on the remaining data points The left-out sample values are then predicted and the corresponding prediction residuals computed The process is repeated with another subset of the calibration set, and so on until every object has been left out once All prediction residuals are combined to compute the validation residual variance and RMSEP Full cross-validation leaves out only one sample at a time Segmented cross-validation leaves out a whole group of samples at a time Segmented cross-validation is faster, but segment selection requires some care since it should feature unique information For example, samples which can be considered as replicates of each other should not be present in different segments In the case of an independent test set the le should contain 20 40% of the full data.

CIECAM02 chroma C, is then computed by multiplying a slightly nonlinear form of t by the square root of lightness J, with some adjustment for background n, as shown in Equation 16.27. This formulation, as with most of the model, is based on empirical tting to various color appearance scaling data. C = t 0.9 J/100 (1.64 0.29n )0.73 (16.27)

5

The calibration and test set must cover the same population of samples as.

Thanks to Eric Stover of Autodesk for permission to display this i-drop example from the Autodesk i-drop Web site.

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The blank area in the middle of the screen, called the graphics window or drawing area, is where you draw. You can think of this as a sheet of drafting paper, except that this piece of paper can be any size even the size of a huge factory! At the bottom of the drawing area is a tab labeled Model. You draw on this tab. You use the layout tabs to lay out your drawing for plotting. (See 17 for details.) When you start to draw, you need to specify where to start drawing. One way is to use coordinates. To specify a coordinate, the universally accepted convention is to put the X coordinate first, followed by a comma, and then the Y coordinate. Examples are 3,5, 3,2, 6, 2, and 1, 1.

Liquification (pyrolysis)

Figure 10.18 (a) The result of applying Heun s method to obtain the numerical solution of the Duf ng system speci ed in Example 10.10; (b) the phase portrait for the system obtained by plotting the points (xn , yn ) [from plot (a)] on the Cartesian plane, thus yielding an approximate plot of (x(t), y(t)).

P f t x(t)

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Here ro is the coordinate distance, but in this example we have a(t o ) = 1 so physical distances and coordinate distances coincide. There are two striking features of this result. The first is that at any given time it is finite; even though the solution for a(t) we are using has I(a(t) 4 00 at t 4 0, it can still be integrated. As nothing can travel faster than the speed of light, this means that even in principle we can only see a portion of the Universe, known as the observable Universe. However, if we have a different evolution of the scale factor at very early times this may lead to very different conclusions (e.g. see the discussion of inflation in 13). One way of circumventing this uncertainty is to instead define the observable Universe as the region that can be probed by electromagnetic radiation, noting that the Universe is opaque until the time of formation of the cosmic microwave background. Using this as the initial time gives a finite result which is independent of the (unknown) very early history of the Universe. The second feature is that the distance the light has travelled is actually somewhat greater than the speed of light multiplied by the age of the Universe. This is because the Universe expands as the light crosses it; note that ro is the distance as measured in the present Universe. At early times when the Universe was smaller, it was easier for the light to make progress across it.

Generated JavaScript code: One or more JavaScript source-code files containing dynamically generated JavaScript objects that match the server-side remoted object

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