Decision boundaries and convex hulls in the feature space that deep learning functions learn from images.
Roozbeh YousefzadehPublished in: CoRR (2022)
Keyphrases
- deep learning
- convex hull
- feature space
- decision boundary
- hyperplane
- image retrieval
- image data
- input image
- training samples
- feature vectors
- three dimensional
- image classification
- training set
- image features
- object detection
- segmentation method
- high dimensional
- object recognition
- unsupervised learning
- kernel function
- principal component analysis
- nearest neighbor
- classification accuracy
- support vectors