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Then, HM is used to map the input histogram to this target distribution.
SVMs map the input features into a high-dimensional feature space in which they become separable.
The fuzzy-based rules map the input and output membership functions.
To map the input data cube on the parallel machine's memory, input data must be aligned along a single dimension.
Note that invertible functions are needed to map the input to the full range of machine words as output.
In most MLP structures, one or more hidden layers are needed to nonlinearly map the input signals to the output signal space.
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MLP is a feed-forward ANN that maps the input data to the appropriate output.
where φ is a nonlinear function which maps the input space into a higher dimensional space.
RKS maps the input data matrix to higher dimension by multiplying it with the generated random matrix.
where φ is a nonlinear function which maps the input space into a higher-dimensional feature space.
The visible layer of the proposed model accepts BoVW-based representation of input images and then maps the input to latent topic space.
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