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Add handling for a -t option (which turns on a timer), and a -b option (which takes a bufsize argument) Be sure to update usage() as well For example:

algorithms [10 12], as well as other gray-level biometric video sequences, can be viewed as third-order tensors with the column, row, and time modes. Naturally, color biometric video sequences are fourth-order tensors with the addition of a color mode. For illustration, Figure 2.1 shows the natural representations of three commonly used biometric signals, a second-order face tensor with the column and row modes in Figure 2.1a, a third-order Gabor face [2, 8, 13] tensor with the column, row, and Gabor modes in Figure 2.1b, and a third-order gait silhouette sequence tensor [14] with the column, row, and time modes in Figure 2.1c. The tensor space where a typical biometric tensor object is speci ed is often highdimensional, and recognition methods operating directly on this space suffer from the so-called curse of dimensionality [15]. On the other hand, the classes of a particular biometric signal, such as face images, are usually highly constrained and belong to

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Our implementation currently fails to handle the case of there being no space between the option and its associated value Ideally, we would accept the option with or without the space Modify our implementation to do this

Our implementation currently fails to handle the user error of adding a space between the hyphen and the option, as in

Our implementation currently fails to recognize multiple instances of the -l or -o option Modify our implementation to do this What should the policy be

Figure 2.1. Biometric data represented naturally as tensors: (a) A 2-D face tensor, (b) a 3-D Gabor-face tensor, and (c) a 3-D gait (silhouette) tensor.

Our implementation generates a fatal error if the user specifies an unknown option Do you think this is reasonable What else might we do

Now that we have considered the user perspective, let us look at the issues from the network and service provider perspective. In a materialistic and non-dotcom world, where businesses need to operate based on revenue, any trust relationship is typically related to a business relationship. When operators are involved, it is hard to imagine a security and trust relationship between the administrative domains without a billing agreement in place. Hence identity and credential management should go hand in hand with billing and accounting management. To provide the added level of convenience for the user, many of the business agreements and accounting procedures between the networks should be achieved in a manner that is transparent to the user. We will talk about this in more detail shortly. Witnessing the proven success of some of the access network technologies, such as WLAN and intimidated by of the seriousness of claims made by other upcoming technologies, such as IEEE 802.16, many traditional network providers (e.g. cellular, cable network operators) are now realizing that there will be a point where their legacy technologies need to co-exist with these newer technologies. Now the problem is that, if these newer

Add support for options beginning with a plus (+), providing handling for the options +s and +pt as well as +sp and +ps Let's presume that +s turns strict handling on and that +p supports previous constructs that are now obsolete For example:

a subspace, a manifold of intrinsically low dimension [15, 16] Feature extraction or dimensionality reduction is thus an attempt to transform a high-dimensional data set into a low-dimensional space of equivalent representation while retaining most of the underlying structure [17] Traditionally, feature extraction algorithms operate on onedimensional objects, that is, rst-order tensors (vectors); and any tensor object with order greater than one, such as images and videos, have to be reshaped (vectorized) into vectors rst before processing However, it is well understood that reshaping breaks the natural structure and correlation in the original data, removing redundancies and/or higher-order dependencies present in the original data set and losing potentially more compact or useful representations that can be obtained in the original form.

Let's assume that we have been asked to provide a sorting function to be called as follows:

file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (356 / 1065) [2001-3-29 11:32:07]

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