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Each fragment type comprises a descriptor, with the number of occurrences of the fragment type as the respective descriptor value.
Many approaches to estimate the applicability domain of a QSAR model either define the geometric subset of the descriptor space that is spanned by the training set, or infer the multivariate probability distribution of the respective descriptor vectors [20 24].
The function k can be any kernel function for which there exists a (not necessary explicit) descriptor encoding function φ: χ → ℜ n, such that the kernel of two objects x, x' corresponds to the dot product of their respective descriptor representations φ (x), φ (x'): (1).
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In the first step, space-time shape/motion features (derived from interest points or dense trajectories) are extracted by their respective descriptors (i.e., HOG, HOF, MBH).
The experimental results that can be found in Table 8 show that even with half the samples, the performances are directly comparable to those achieved when extracting 600 samples for the respective descriptors and codebook.
In our case, the similarity (or affinity) measure between two structural states, S i and S j, is naturally defined by the (Euclidean) distance between their respective descriptors, Ds i and Ds j, begin{array}{*{20}c} {gleft( {varvec{S}_{i},varvec{S}_{j} } right) = varvec{Ds}_{i} - varvec{Ds}_{j}^{2},} end{array} (4 and is used to merge the different structural classes.
Familiarisation consisted of reading, listening and gaining an overview of the data before it was reduced to smaller components from which key themes and their respective descriptors (categories) pertaining to the key phases of the process of facilitation were identified.
SCs are represented as reconstruction nodes, each of which has a respective shape descriptor.
However, if numeric scores were categorized according to the respective verbal descriptor as given by each patient, an additional picture unfolded.
After clustering the SIFT descriptors, we have edge points with their coordinates (pixel coordinates are normalized to (0.0, 1.0)) and respective SIFT descriptors.
If the search mode is set to compound similarity, then the similarity of all Wikipedia structures to the query structure is determined as Tanimoto similarity between the two respective FragFp descriptors.
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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