Unsupervised Denoising Feature Learning for Classification of Corrupted Images.
Genggeng LiuQihao LinNeal Naixue XiongXin WangPublished in: Big Data Res. (2022)
Keyphrases
- supervised learning
- unsupervised learning
- denoising
- image classification
- image features
- discriminative features
- learning process
- feature vectors
- image data
- learning algorithm
- visual object recognition
- supervised classification
- machine learning
- preprocessing stage
- classification accuracy
- image analysis
- input image
- feature representation
- object recognition
- image database
- edge detection
- feature extraction
- active learning
- support vector
- text classification
- dimensionality reduction
- test images
- image retrieval
- decision trees
- image processing
- noise free
- image registration
- unlabeled images
- semi supervised