Investigating Labeler Bias in Face Annotation for Machine Learning.
Luke HaliburtonSinksar GhebremedhinRobin WelschAlbrecht SchmidtSven MayerPublished in: HHAI (2024)
Keyphrases
- machine learning
- active learning
- machine learning algorithms
- human faces
- semantic annotation
- pattern recognition
- artificial intelligence
- feature engineering
- natural language processing
- information extraction
- feature selection
- machine learning approaches
- inductive learning
- inductive bias
- facial expressions
- inductive logic programming
- data mining
- knowledge acquisition
- learning tasks
- computer science
- computer vision
- image annotation
- personal photos
- learning problems
- machine learning methods
- bias variance analysis
- neural network
- automatic annotation
- keypoints
- learning systems
- semi supervised learning
- model selection
- face images
- computational intelligence
- supervised learning
- support vector machine
- knowledge representation
- image retrieval
- natural language
- reinforcement learning
- feature extraction
- decision trees
- metadata