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Interestingly, it can be shown that this iterative procedure can be simpli ed and is essentially equivalent to kernel K-means with a speci c kernel Gram matrix [76]. When the data in question are given as high-order representations such as 2D and 3D images, it is natural to encode them using high-order tensors. Discriminant tensor factorization, which is a two-dimensional extension of LDA, for a collection of twodimensional images has been studied [77]. It was further extended to higher-order tensors in reference 78. However, the computational convergency of these iterative algorithms [77, 78] is not guaranteed. Recently, a novel discriminant tensor factorization procedure with the convergency property was proposed [79]. Other recent extensions on discriminant tensor factorization as well as their applications to image analysis can be found in reference 80.

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14, 2004 (supersedes 8021X-2001) 15 [EAPSIMDR], H Havarinen, et al, Extensible Authentication Protocol Method for GSM Subscriber Identity Modules (EAP-SIM) , IETF individual draft, draft-haverinen-pppext-eap-sim-15txt, November 2004..

bool hasPassed = quiz1 & (1 27);

Because the bitwise operators are error-prone due to their low-level bit manipulations, typically they are encapsulated either in preprocessor macros or inline functions For example:

Wpt 1 ( m)

inline bool bit_on( unsigned int ui, int pos ) { return ui & (1 pos ); }

This might then be invoked as follows:

enum students { Danny = 1, Jeffrey, Ethan, Zev, Ebie, // AnnaP = 26, AnnaL = 27 }; const int student_size = 27; //deliberately starts at 1 bool has_passed_quiz[ student_size+1 ]; for ( int index = 1; index <= student_size; ++index ) has_passed_quiz[ index ] = bit_on( quiz1, index );

+ ||m||2 . (7.14)

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Of course, once we begin encapsulating the direct use of the bitwise operators, the next logical step is to provide an encapsulation of the whole notion of bitvectors in the case of the standard library, the bitset class abstraction As it happens, this is the very topic of the next section Exercise 412 Assume the following two definitions:

file:///F|/WinDDK/resources/CPPPrimer/c++primerhtm (165 / 1065) [2001-3-29 11:32:04]

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Once, there was a time when carrying a mobile phone of half the size of a car battery was considered a revolutionary way of communicating. As cellular phones shrank in size and information started flowing in a variety of forms, such as short messaging, files, pictures, staying connected through wireless channels has started posing new demands. People are starting to ask, why not connect their computers to the Internet or their work network wirelessly when they are out of their home or office environment Partly the limited bandwidth capacity, partly the costly set-up of a cellular network (both in the form of spectrum and equipment), started a new trend: new access technologies that are cheaper and offer more bandwidth than cellular are being developed. Unfortunately many of these networks, due to their engineering characteristics, may have limited scope and feasibility. For instance, 802.11 networks still lack the support for high-speed spatial mobility that cellular networks provide, while the relevantly high bandwidth services that these networks provide make them excellent candidates for local area networks with limited coverage and support for mobility. A hotel could install such a local network to offer high-bandwidth connectivity for its guests in the lobby, while the guests still expect to use their cellular phones for conversations or low-bandwidth data transfers while driving outdoors. When those same guests arrive home, they may log in to the Internet using their home cable operator.

Given the other parameters of the quadrilinear manifold, the cost function can be minimized over m by iteratively solving for increments m in It

unsigned int ui1 = 3, ui2 = 7;

(a) (b)

Wpt 1 ( m)

Exercise 413 Using the model of the bit_on() inline function, provide a bit_turn_on() (turns on a specified bit), a bit_turn_off() (turns off a specified bit), a flip_bit() (reverses the value of a specified bit), and a bit_off() (tests whether the specified bit is off) collection of inline functions operating on a bitvector represented as an unsigned int Then write a small program to exercise the functions Exercise 414 What is the weakness of explicitly coding the functions of Exercise 413 to operate on an unsigned int One alternative is the use of a typedef A second alternative is the use of the template mechanism introduced in Section 25 Rewrite the bit_on() inline function defined above using a typedef and then using the function template mechanism

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