A Nonlinear, Noise-aware, Quasi-clustering Approach to Learning Deep CNNs from Noisy Labels.
Ishan JindalMatthew S. NoklebyDaniel PresselPublished in: CVPR Workshops (2019)
Keyphrases
- learning systems
- supervised learning
- learning process
- learning algorithm
- prior knowledge
- online learning
- unsupervised learning
- hierarchical clustering
- learning problems
- noise level
- noisy data
- label noise
- pairwise
- deep architectures
- noise tolerant
- deep learning
- signal to noise ratio
- cluster analysis
- self organizing maps
- machine learning
- clustering method
- edge detection
- feature selection
- semi supervised