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Tumer, Input decimation ensembles: Decorrelation through dimensionality reduction, in J Kittler and F Roli, editors, Multiple Classi er Systems, Lecture Notes in Computer Science, Vol 2096, Springer-Verlag, New York, 2001, pp 238 247 16 G Giacinto and F Roli, An approach to the automatic design of multiple classi er systems, Pattern Recognit Lett 22(1):25 33, 2001 17 D D Margineantu and T G Dietterich, Pruning adaptive boosting, in M Kaufmann, editor, Proceedings of the 14th International Conference on Machine Learning, 1997, pp 378 387 18 C J C Burges, A tutorial on support vector machines for pattern recognition, Data Mining and Knowledge Discovery 2(2):121 167, 1998 19 B V K Vijaya Kumar, Tutorial survey of composite lter designs for optical correlators, Applied Optics 31, 4773 4801, 1992 20 R O Duda, P E Hart, and D G Stork, Pattern Classi cation, 2nd edition, John Wiley & Sons, New York, 2001.

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Generating 2D ( PDF417 or QR) barcodes using Excel VBA - Stack Overflow
29 May 2016 ... The VBA module barcode- vba -macro-only (mentioned by Sébastien Ferry in the comments) is a pure VBA 1D/2D code generator created by Jiri Gabriel under ...

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file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (988 / 1065) [2001-3-29 11:32:15]

Both an ifstream and an ofstream class object can be defined without specifying a file A file can be later connected explicitly to a class object through the member function open() For example:

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21 K Venkataramani, Optimal classi er ensembles for improved biometric veri cation, Carnegie Mellon, PhD dissertation, January 2007 22 K Venkataramani and B V K Vijaya Kumar, Role of statistical dependence between classi er scores in determining the best decision fusion rule for improved biometric veri cation, in International Workshop on Multimedia Content Representation, Classi cation and Security (MRCS), Istanbul, Turkey, September 2006 23 P K Varshney, Distributed Detection and Data Fusion, Springer-Verlag, New York, 1997 24 K Venkataramani and B V K Vijaya Kumar, Or rule fusion of conditionally dependent correlation lter based classi ers for improved biometric veri cation, in OPR XVII, Proceedings of the SPIE, Vol 6245, April 2006, pp 105 116 25 K Venkataramani and B V K.

ifstream curFile; // curFileopen( filenamec_str() ); if ( ! curFile ) // open failed //

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Download 2D barcode PDF417 library for free. A library to generate the bidimensional barcode PDF417 . The generated result is a byte array representing the ...

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7.4.1.7 Peer Discovery and Configuration RADIUS implementations typically require that the name or address of servers or clients be manually configured, along with the corresponding shared secrets. This results in a large administrative burden, and creates the temptation to reuse the RADIUS shared secret for many clients (NAS) and that can result in major security vulnerabilities. Through DNS, Diameter enables dynamic discovery of peers. Derivation of dynamic session keys is enabled via transmission-level security.

A file can be disconnected from the program by invoking the member function close() For example:

Vijaya Kumar, Conditionally dependent classi er fusion using and rule for improved biometric veri cation, in International Conference on Advances on Pattern Recognition, Lecture Notes in Computer Science, Vol 3687, Springer-Verlag, New York, 2005, pp 277 286 26 T Hastie et al, The Elements of Statistical Learning, 1st edition, Springer, New York, 2003 27 T K Ho, The random subspace method for constructing decision forests, IEEE Trans Pattern Anal Mach Intelli 20(8):832 844, 1998..

curFileclose();

In the following program, five files are opened and closed in turn using the same ifstream class object:

4

#include <fstream> const int fileCnt = 5; string fileTabl[ fileCnt ] = { "Melville","Joyce","Musil","Proust","Kafka" }; int main() { ifstream inFile; // not attached to any file for ( int ix = 0; ix < fileCnt; ++ix ) { inFileopen( fileTabl[ix]c_str() ); // verify successful open // process file inFileclose(); } }

An fstream class object can open a file for either input or output The fstream class is derived from the iostream class In the following example, wordout is first read then written using the fstream class object file The file wordout, created earlier in this section, contains a WordCount object

#include <fstream> #include "WordCounth" int main() { WordCount wd; fstream file;

28. M. Skurichina, L. I. Kuncheva, and R. P. Duin, Bagging and boosting for the nearest mean classi er: Effects of sample size on diversity and accuracy, in F. Roli and J. Kittler, editors, Multiple Classi er Systems, Lecture Notes in Computer Science, Vol. 2364, Springer-Verlag, New York, 2002, pp. 62 71. 29. K. Tumer and J. Ghosh, Error correlation and error reduction in ensemble classi ers, Connection Sci. 8(3/4):385 404, 1996. 30. T. Sim, S. Baker, and M. Bsat, The CMU pose, illumination, and expression (PIE) database of human faces, Robotics Institute, Carnegie Mellon University, Technical Report CMU-RI-TR-01-02, January 2001. 31. C. I. Watson, NIST special database 24 Live-scan digital video ngerprint database, July 1998. 32. M. Savvides, B. V. K. Vijaya Kumar, and P. Khosla, Face veri cation using correlation lters, in Proceedings of the Third IEEE Automatic Identi cation Advanced Technologies, Tarrytown, NY, March 2002, pp. 56 61. 33. A. Mahalanobis, B. V. K. Vijaya Kumar, S. Song, S. Sims, and J. Epperson, Unconstrained correlation lters, Appl. Opt. 33(17):3751 3759, 1994. 34. K. Venkataramani and B. V. K. Vijaya Kumar, Performance of composite correlation lters in ngerprint veri cation, Opt. Eng. 43(8):1820 1827, 2004. 35. B. V. K. Vijaya Kumar, D. W. Carlson, and A. Mahalanobis, Optimal trade-off synthetic discriminant function lters for arbitrary devices, Opt. Lett. 19(19):1556 1558, 1994.

file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (989 / 1065) [2001-3-29 11:32:15]

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This PDF417 Native Microsoft Excel Barcode Generator provides barcoding capability to Microsoft Excel Spreadsheets with an embedded VBA macro, making it ...

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