The phrase "a feature that corresponds" is correct and usable in written English.
It can be used when discussing a characteristic or aspect that aligns or matches with something else, often in technical or descriptive contexts.
Example: "The software includes a feature that corresponds to user preferences, allowing for a more personalized experience."
Alternatives: "a characteristic that matches" or "an attribute that aligns".
Furthermore, the legal context in which the assessment interviews take place could be considered a feature that also corresponds with the characteristics of the social insurance physician.
The marker-dense regions appear to correspond to the centromeric regions, a feature that has been observed previously [ 42].
We then empirically evaluated the validity of the structure obtained, by investigating the acoustic features that corresponded to the semantic categories that had emerged.
In a case study using a SPOT5 satellite image of central Stockholm, the window-independent context segmentation method extracts urban features that correspond to the strategic scale of urban-planning and management and that differ in function and underlying planning theory and practice.
The log-likelihood LL is a statistical feature that corresponds to the sum of each natural logarithm of the predicted probability that a sound belongs to its supposed category, as described in (6).
Let (mathbf F_A = { mathbf f^{(A)}_1, mathbf f^{(A)}_2, dots, mathbf f^{(A)}_{N} }) be one local feature region extracted from I, where (mathbf f) is a feature vector that corresponds to a feature point.
For each clustering object data Z i (i = 1,..., N), a feature vector that corresponds to a point in a D-dimensional space, we computed the distance: d ij = | Z i - Z j |, (i, j = 1,..., N).
This kernel value can be considered as a similarity between the two sequences in the feature space that corresponds to the mapping ϕ.
However, given the AAM trained models and the training feature space that corresponds to the facial event, the ESC method requires no further manual intervention.
In the event that two or more features have the same T2 value, we remove the feature that corresponds to the lowest univariate T. The use of T2 statistics is desirable due to its strictly monotonic function where its value for a subset of features is always less than or equal to that of the full set.
