Sentence examples for be assigned a class from inspiring English sources

Exact(6)

It is possible for a pixel to be assigned a class different from its neighbors in 5 × 5 windows in the second run.

The idea is to divide an image into a number of blocks and treat each block as a random variable to be assigned a class label depending on its own features, its neighbours' features, and class labels.

In the context of this work, given the energy function (the objective function), a site can be assigned a class label in a deterministic sense according to  (11 1111 11

Based on the similarity matrix, each SPN is treated as a random variable to be assigned a class label, and a reference similarity r is estimated to serve as a rough boundary between the intra- and inter-class similarities in order to encode a cost function using a Markov random field (MRF).

It is not feasible, however, for a Trust to be assigned a class weighted survival rate below that of the poorer survival class, or above that of the better survival class.

Once we set up a threshold value as the boundary, a test instance can be assigned a class label at each of the root, child and grandchild node (when N = 3) in RMCT classifier [ 8- 10].

Similar(54)

I was assigned a class on patching damaged genes.

To formulate a classification problem, each product sample was assigned a class label and a fuzzy membership that corresponded to this label.

However, we acknowledge that the IUCN classification is incomplete (e.g., about 3.6 million km2 of area has not been assigned a class) and inconsistent (pers communication B MacSharry) in the WDPA database, and that MPAs, regardless of classification, vary in the degree of effectiveness and enforcement23,11.

When children at P.S. 87 are assigned a class project to interview their families about the countries they have come from, the papers and family trees hung on the walls in the corridors are full of exotic places and the palpable thrills and hopes, and sadnesses, of planting new roots in their new land.

from an unknown distribution D. Each x i l ∈ R d is an input feature vector which is assigned a class label y i ∈ Y = { 1, …, C }.

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