Generative Classifiers as a Basis for Trustworthy Computer Vision.
Radek MackowiakLynton ArdizzoneUllrich KötheCarsten RotherPublished in: CoRR (2020)
Keyphrases
- computer vision
- training data
- feature selection
- object detection
- discriminative classifiers
- support vector
- pattern recognition
- data driven
- machine learning algorithms
- image analysis
- image processing
- object recognition
- linear classifiers
- image sequences
- image understanding
- computer graphics
- decision trees
- svm classifier
- test set
- generative model
- naive bayes
- face detection
- machine learning
- bayesian network classifiers
- ensemble learning
- pose estimation
- vision system
- optical flow
- training set
- unsupervised learning
- em algorithm
- data sets
- feature set
- image features
- classification algorithm
- camera calibration
- support vector machine
- shape matching
- feature vectors
- learning classifier systems
- pairwise
- multiple classifiers