Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images.
Noel CodellaJunjie CaiMani AbediniRahil GarnaviAlan HalpernJohn R. SmithPublished in: MLMI (2015)
Keyphrases
- sparse coding
- deep learning
- unsupervised learning
- dermoscopy images
- automated detection
- deep belief networks
- object recognition
- computer aided diagnosis
- feature selection
- natural images
- supervised learning
- sparse representation
- support vector
- machine learning
- malignant melanoma
- support vector machine
- multi class
- early diagnosis
- linear combination
- feature space
- restricted boltzmann machine
- action recognition
- knn
- image classification
- text classification
- image representation
- semi supervised
- computer vision
- dimensionality reduction
- training set
- reinforcement learning
- image processing
- medical images
- data sets
- visual words
- probabilistic model
- pattern recognition
- decision trees
- training data
- image analysis
- high dimensional