AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control.
Yifan ZhangHaiyan JiangHaojie RenChangliang ZouDejing DouPublished in: NeurIPS (2022)
Keyphrases
- novelty detection
- rate control
- automatic model selection
- rate distortion
- bit rate
- video coding
- video streaming
- anomaly detection
- model selection
- rate control algorithm
- factor analysis
- visual quality
- mixture model
- inter frame
- unsupervised image segmentation
- step size
- information criterion
- concept drift
- machine learning
- face recognition
- high dimensional
- similarity measure
- data streams
- text classification
- image quality