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Widescreen displays are quite flexible in the way they deal with different input formats They can display 4:3 video with black bars on the sides a kind of sideways letterbox that is sometimes called a windowbox and they also have display modes that enlarge the video to fill the entire screen Wide mode stretches the picture horizontally (Figure 318) This is sometimes called full mode This is the proper mode to use with anamorphic video, but it makes everything look short and fat when applied to 4:3 video Some widescreen TVs have a parabolic or panorama version of wide mode, which uses nonlinear distortion to stretch the sides more and the center less, thus minimizing the apparent distortion This mode should not be used with anamorphic DVD output or very strange fun-house-mirror effects will occur Expand mode proportionally enlarges the picture to fill the width of the screen, thus losing the top and bottom (Figure 319) This is sometimes called theater mode Expand mode is for use with letterboxed video because it effectively removes the mattes If used with standard 4:3 picture, this mode causes a Henry VIII off with their heads effect Most widescreen TVs also have other display modes that are variations of the three basic modes Some standard 4:3 TVs, especially in Europe, can adjust vertical scan size to create a letterboxed display from anamorphic pictures The advantage is that the picture is full resolution, since no pixels are lost by having the player do the letterboxing

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ThermalLabel Editor Add-on is a first-class barcode label designer component for .NET Windows desktop apps (WinForms & WPF) which empowers your own ...

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The most basic instance-based method is the k-NEAREST NEIGHBOR algorithm This algorithm assumes all instances correspond to points in the n-dimensional space 8" The nearest neighbors of an instance are defined in terms of the standard

Figure 12-15

3

A UISwitch, similar to a toggle button, is on or off Figure 12-19 illustrates a UISwitch s appearance A UISwitch has a property and method for changing its state The Boolean property is on, when YES The switch is off when NO The following is the declaration for the on property

where ar ( x ) denotes the value of the rth attribute of instance x Then the distance between two instances xi and xj is defined to be d ( x i ,x j ) , where

.

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Notice that the getter is entitled isOn, you can use this getter to obtain the on property s value or the property itself For instance, the following two statements are equivalent

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In nearest-neighbor learning the target function may be either discrete-valued or real-valued Let us first consider learning discrete-valued target functions of the form f : W -+ V, where V is the finite set {vl, v,} The k-NEAREST NEIGHBOR algorithm for approximatin5 a discrete-valued target function is given in Table 81 As shown there, the value f (x,) returned by this algorithm as its estimate of f (x,) is just the most common value of f among the k training examples nearest to x, If we choose k = 1, then the 1-NEAREST NEIGHBOR algorithm assigns to f ( x , ) the value f ( x i ) where xi is the training instance nearest to x, For larger values of k, the algorithm assigns the most common value among the k nearest training examples Figure 81 illustrates the operation of the k-NEAREST NEIGHBOR algorithm for the case where the instances are points in a two-dimensional space and where the target function is boolean valued The positive and negative training examples are shown by "+" and "-" respectively A query point x, is shown as well Note the 1-NEAREST NEIGHBOR algorithm classifies x, as a positive example in this figure, whereas the 5-NEAREST NEIGHBOR algorithm classifies it as a negative example What is the nature of the hypothesis space H implicitly considered by the k-NEAREST NEIGHBOR algorithm Note the k-NEAREST NEIGHBOR algorithm never forms an explicit general hypothesis f regarding the target function f It simply computes the classification of each new query instance as needed Nevertheless,

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