Semi-supervised Convolutional Triplet Neural Networks for Assessing Paper Texture Similarity.
Leah LackeyArick GrootveldAndrew G. KleinPublished in: ACSSC (2020)
Keyphrases
- semi supervised
- neural network
- network architecture
- texture analysis
- texture classification
- similarity measure
- semi supervised learning
- texture features
- artificial neural networks
- texture images
- restricted boltzmann machine
- distance function
- pairwise
- neural network model
- pattern recognition
- unlabeled data
- texture information
- subspace learning
- pairwise constraints
- gray level
- labeled data
- distance measure
- supervised learning
- fuzzy logic
- back propagation
- genetic algorithm
- semi supervised classification
- image segmentation
- similarity measurement
- active learning
- multi view
- metric learning
- neural nets
- input image
- texture synthesis
- high dimensional
- feature extraction
- image regions
- euclidean distance
- semi supervised clustering
- unsupervised learning