ProAlignNet : Unsupervised Learning for Progressively Aligning Noisy Contours.
V. S. R. VeeravasarapuAbhishek GoelDeepak MittalManeesh Kumar SinghPublished in: CoRR (2020)
Keyphrases
- unsupervised learning
- supervised learning
- semi supervised
- deep learning
- dimensionality reduction
- machine learning
- noisy data
- active contours
- image registration
- object recognition
- neural network
- noisy environments
- endpoints
- three dimensional
- model selection
- deep architectures
- contour detection
- clustering algorithm
- expectation maximization
- similarity measure
- multiscale
- learning process
- text classification
- image sequences
- feature selection
- noise free
- reinforcement learning
- contour extraction
- contour matching
- training set