This strategy provides labels for training confidence measures based on machine-learning technique without ground-truth labels (BMVC 2017)
-
Updated
Jun 5, 2019 - C++
#
confidence-measures
Here are 3 public repositories matching this topic...
This repository contains a suite of confidence measures for depth estimation.
-
Updated
Aug 7, 2022 - Jupyter Notebook
The codes have been provided to support the article "Novel implicit-trust-network-based recommendation methodology", which has been published in Expert Systems With Applications. This algorithmic framework is abbreviated to ITNRM. It first generates implicit trust networks to find users' trustees or neighbors. And a novel recommendation methodol…
trust recommender-system similarity-measures prediction-model confidence-measures trust-network identical-opinion
-
Updated
Jan 2, 2022 - MATLAB
Improve this page
Add a description, image, and links to the confidence-measures topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the confidence-measures topic, visit your repo's landing page and select "manage topics."