A comparison of cluster distance metrics for the segmentation of sputum color image using unsupervised hopfield neural network classifier.
Rachid SammoudaBelgacem Ben YoussefPublished in: GSCIT (2014)
Keyphrases
- distance metric
- color images
- hopfield neural network
- energy function
- data points
- nearest neighbor classification
- distance function
- metric learning
- distance metric learning
- image processing
- level set
- euclidean distance
- image segmentation
- cellular neural networks
- distance measure
- training data
- feature space
- markov random field
- semi supervised
- graph cuts
- neural network
- learning algorithm
- feature selection
- decision trees
- feature set
- svm classifier
- class labels
- training samples
- low dimensional
- supervised learning
- support vector machine
- training set
- support vector
- computer vision
- genetic algorithm