Sentence examples for negative pairs from inspiring English sources

where TP, TN, FP, and FN are the numbers of true positive, true negative, false positive, and false negative pairs, respectively.

It is also found from this figure that if the appearances of faces are very similar, then the negative pairs can be wrongly identified.

The results of mindist-LBP, MBGS-LBP, APEM, and LM3L are cited from the website of database Fig. 11 Examples of correct and incorrect verifications of the positive and negative pairs considering the experiments of the YTF database.

The results of Eigenfaces, SIFT, LBP, and MKL are cited from the website of database Fig. 9 Examples of correct and incorrect verifications of the positive and negative pairs considering the View 2 experiments of the LFW database.

After extracting the generic deep representations (109 and 4144-dimensional output based), 50,000 positive pairs (belonging to same vessels) and 50,000 negative pairs (belonging to different vessels) are picked randomly from both training and test splits out of 201,750 training examples and 198,250 test examples, respectively1.

Having determined that only relatively few miRNAs actually exhibit correlations with their targets (whether positive or negative), we show the 10 most positive miRNA-target pairs in Table 1 and the 10 most negative pairs in Table 2.

For example, the presence of cayenne pepper strongly biases the flavor sharing pattern of Indian cuisine towards negative pairing.

Concerning Lemmas 3.1 3.3, we obtain a positive pair and a negative pair of sub- and supersolutions of problem (1.1) provided that is sufficiently small.

For example, Zheng et al. [8] proposed the Probabilistic Relative Distance Comparison (PRDC) to maximize the matching probability of positive pairs so that the distance between the positive pair is smaller than that of negative pair.

Moreover, MADRS4 showed some negative pair wise scalabilities (H4,j j = 7,8,10, values not shown).

For each repeatability test, the number of total nonredundant pair-wise comparisons (T), concordant negative pair-wise comparisons (CN), and concordant positive pair-wise comparisons (CP), and discordant pair-wise comparisons (Disc) for a given specimen were calculated.