Gaussian Processes Regression with Multiple Annotators: When the Annotator Performance Is Not Homogeneous.
Julián Gil GonzálezAndrés Marino Álvarez-MezaÁlvaro Ángel OrozcoPublished in: CIARP (2018)
Keyphrases
- gaussian processes
- gaussian process
- covariance function
- gaussian process regression
- relevance vector machine
- ordinal regression
- human pose estimation
- multi task
- multiple annotators
- low quality
- preference learning
- regression model
- gaussian process models
- machine learning
- hyperparameters
- pairwise
- high quality
- maximum a posteriori
- ground truth
- feature extraction