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the authentic training set. The entire impostor training set is used to design each of the multiple lters. The authentic training images are divided into multiple subsets of similar plastic distortion in the following way. 1. Pick an image, say the rst image of the training set, to build a lter. 2. Build a lter and cross-correlate the lter with the rest of the training images. 3. Pick the image that is most different from the current lter(s) by choosing the one with lowest PSR to build the next lter. 4. Cross-correlate the rest of the training set with all the current lters. For each image, store the maximum PSR across different lters (in order to compare between different images in step 3). 5. Repeat step 3 until the required number of lters have been built or when all images have a suf ciently high PSR (greater than a speci ed threshold). 6. The remaining images are used to update the closest lter (the lter for which the maximum PSR is obtained). Figure 4.14 shows the authentic and impostor Q values for each pair of classi ers for the best set of thresholds for Or fusion found for each point on the Or rule ROC curve. The x axis for the plot is the index of the threshold set. The impostor Q values are positive, which is favorable for the Or rule. It can be seen that the authentic Q values are negative at the higher indices of the threshold set, which is favorable for the Or rule. Only three classi ers are used in this Or rule ensemble because the authentic Q values for each of the three classi er pairs is negative only at the higher

Because both getline() and the three-argument form of get() might read size characters or less, it is often necessary to query the istream to determine how many characters were actually read The istream member function gcount() provides just that information; it returns the number of characters actually extracted by the last call of get() or getline() The ostream write() member function provides an alternative method of outputting a character array Rather than outputting characters until a terminating null character is found, it outputs some length of characters, including embedded null characters, if any It has the following function signature:

write( const char *sink, streamsize length )

Q values 0.8 0.6 0.4 Q value 0.2 0 0.2 0.4 0.6 5 A12 I12 A13 I13 A23 I23 10 15 Threshold set index 20 25

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length specifies the number of characters to display write() returns the ostream class object through which it is invoked The inverse of the ostream write() function is the istream read() function, with a signature that is defined as follows:

read( char* addr, streamsize size )

provided or how irrelevant certificates or multiple certificates or certificate payloads without CA information are handled. ISAKMP defines a Hash (HASH) payload is defined to carry a pointer to the certificate. The pointer can then be used to locate the actual certificate.

on the NIST 24 plastic distortion database. The best set of thresholds on the classi ers are found for a given FAR/FRR point on the Or rule fusion ROC. The x axis represents the index for these threshold sets.

read() extracts size contiguous bytes from the input stream and places them beginning at addr gcount() returns the number of bytes extracted by the last read() invocation read() returns the istream class object that invokes it Here is an example of using getline(), gcount(), and write():

file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (976 / 1065) [2001-3-29 11:32:15]

int main() { const lineSize = 1024; int lcnt = 0; // how many lines are read int max = -1; // size of longest line char inBuf[ lineSize ]; // reads 1024 characters or up to newline while (cingetline( inBuf, lineSize )) { // how many characters actually read int readin = cingcount(); // statistics: line count, longest line ++lcnt; if ( readin > max ) max = readin; cout "Line #" lcnt "\tChars read: " readin endl; coutwrite( inBuf, readin)put('\n')put('\n'); } cout "Total lines read: " lcnt endl; cout "Longest line read: " max endl; }

plastic distortion database. The best set of thresholds are found for a given FAR/FRR point on the Majority rule fusion ROC. The x axis in this gure represents the index for these threshold sets.

When run against the first few sentences of Moby Dick, the program generates the following output:

Line #1 Chars read: 45 Call me Ishmael Some years ago, never mind Line #2 Chars read: 46 how long precisely, having little or no money Line #3 Chars read: 48 in my purse, and nothing particular to interest Line #4 Chars read: 51 me on shore, I thought I would sail about a little Line #5 Chars read: 47 and see the watery part of the world It is a Line #6 Chars read: 43 way I have of driving off the spleen, and Line #7 Chars read: 28 regulating the circulation Total lines read: 7 Longest line read: 51

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