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In vector tomography (VT), the aim is to reconstruct an unknown multi-dimensional vector field using line integral data.
Using a multi-dimensional vector classifier, these features carry enough information to accurately classify a range of commonly occurring indoor and outdoor surfaces without using of any mechanical system model.
The algorithm is based on the Hamiltonian formalism in the framework of which Maxwell's equations for passive media are shown to be equivalent to the first-order equation, ∂Ψ/∂t=HΨ, where H is a linear differential operator (Hamiltonian) acting on a multi-dimensional vector Ψ built of the electromagnetic inductions and auxiliary matter fields describing the medium response.
Then we turn each of those words into a vector, in a multi-dimensional vector space.
A massive corpus of information is often best represented in a multi-dimensional vector space.
Representations (concepts) can be portrayed as partitions in multi-dimensional vector spaces.
Third, content filtering is enhanced by similarity calculation in a multi-dimensional vector space.
In fact, in Section 3 we will assume that they are multi-dimensional vector spaces over the complex field.
It is noted that the dimension reduction is applied for visualizing a multi-dimensional vector, h i.
The interpretation of a sentence becomes part of a multi-dimensional vector representation, which really just means we're trying to translate based on some semblance of "context" rather than phrases.
The main characteristic of the hyper-spectral images is that each pixel is defined by a multi-dimensional vector whose elements are the spectral (electromagnetic or wavelengths) components that are captured from the light arriving at the spectral sensor.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com