Sentence examples for labeling cost from inspiring English sources

In [6], labeling cost refers to pairwise error probability in AWGN channels with full a priori information.

However, the BSA based labeling optimization evaluates the labeling cost assuming that full a priori information is available.

A fully convolutional neural network is trained for semantic segmentation of pixels that provides labeling cost associated with each pixel.

The abovementioned approaches mainly focus on effective and efficient sample selection from the same and/or different sources of images to reduce the labeling cost.

However, it requires a fully labeled training set, which is prohibitive when the labeling cost is high and, besides that, it requires labeled instances from all classes.

The aim of this study was to estimate the performance of active learning algorithm for detecting blueberry damage using hyperspectral transmittance data with the very low labeling cost.

The ideas of binary switching algorithm (BSA), which aims at labeling costs optimization, are presented in [6, 11].

He argues that labeling costs would be low and that consumers should be fully informed about what is in their food.

Additionally, our method does not require the emotional speech of new speakers, and can save enormous data collection and labeling costs.

Moreover, we introduce a new metric to examine annotator quality, which can be used for finding good annotators to enhance consensus quality and reduce crowd labeling costs.

Yang et al. [12] introduce adaptive binary switching algorithm (ABSA) to obtain optimal labeling pattern, where optimality is defined by taking into account the labeling costs at multiple a priori MI points.