Sentence examples for label proportions from inspiring English sources

Thus, we introduce proportional grid labeling (proportional GL) by combining grid labeling with label proportions to implement rapid training set definition for SAR images.

Then, proportional GL can be presented in three forms by giving label proportions for each class or the major class in a cell during the sample labeling process, 1) Multiclass GL: The task of multiclass GL is to estimate the proportion p k (l i ) for each ({{l}_{i}}in mathcal {L})(i=1,…,M) in a grid cell C k by a human expert.

This paper deals with a classification problem known as learning from label proportions.

Since label proportions estimated by human in grid labeling may differ from the true label proportions, there possibly exist errors in label proportion p k.

A larger value of λ p means introducing more penalty from label proportions.

It combines boosting-based SVM and label proportions for efficient learning from uncertain labels.

When w and b are fixed, ω can be updated according to label agreement and label proportion constraints.

We simulate the errors in label proportion by adding noise n k of a normal distribution with mean μ=0 and standard deviation σ=0.05∼0.20 to the existing label proportion p k.

Then, the noisy label proportion is p k =p k +n k, where n k ∼ N μ,σ 2).

Influence of label proportion errors on classification accuracy for the two SAR images is presented in Fig. 7.

The unknown sample weight ω can be seen as a link between supervised learning loss L and label proportion loss L p in Eq. (4).