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RandomFourierDotFeatures.h File Reference

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Classes

singleton  CDenseFeatures< ST >
 The class DenseFeatures implements dense feature matrices. More...
 
class  CRandomFourierDotFeatures
 This class implements the random fourier features for the DotFeatures framework. Basically upon the object creation it computes the random coefficients, namely w and b, that are needed for this method and then every time a vector is required it is computed based on the following formula z(x) = sqrt(2/D) * cos(w'*x + b), where D is the number of samples that are used. More...
 

Enumerations

enum  KernelName { GAUSSIAN, NOT_SPECIFIED }
 

SHOGUN Machine Learning Toolbox - Documentation