A Universal Unbiased Method for Classification from Aggregate Observations.
Zixi WeiLei FengBo HanTongliang LiuGang NiuXiaofeng ZhuHeng Tao ShenPublished in: CoRR (2023)
Keyphrases
- classification method
- classification accuracy
- preprocessing
- support vector machine svm
- classification process
- unsupervised learning
- high accuracy
- support vector machine
- clustering method
- training samples
- feature set
- high precision
- decision trees
- segmentation method
- image classification
- machine learning methods
- pattern classification
- computational cost
- experimental evaluation
- dynamic programming
- significant improvement
- prior knowledge
- feature vectors
- density estimation
- objective function
- accuracy rate
- data sets
- ordinal data
- decision rules
- cross validation
- detection method
- dimensionality reduction
- edge detection
- supervised learning
- artificial neural networks
- computational complexity
- training data
- image sequences