Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
the following cost functions: In this paper, learning rules are proposed for simultaneous corn- GI(U) = tr{(UTU)(UTBU)-lD, (la) putation of minor eigenvectors of a covariance matri...
Interoperability is currently seen as one of the most significant problems facing the digital rights management (DRM) industry. In this paper we consider the problem of interoper...
The number of location-aware mobile devices has been rising for several years. As this trend continues, these devices may be able to use their location information to provide inte...
— Single–hop WDM networks based on a central Passive Star Coupler (PSC) or Arrayed–Waveguide Grating (AWG) hub have received a great deal of attention as promising solutions ...