An hybrid feature space from texture information and transfer learning for glaucoma classification.
Maíla de Lima ClaroRodrigo VerasAndré M. SantanaFlávio H. D. AraújoRomuere R. V. e SilvaJoão AlmeidaDaniel LeitePublished in: J. Vis. Commun. Image Represent. (2019)
Keyphrases
- transfer learning
- feature space
- texture information
- text classification
- classification accuracy
- feature vectors
- labeled data
- feature set
- machine learning
- cross domain learning
- training set
- support vector machine
- cross domain
- texture features
- training samples
- feature extraction
- machine learning algorithms
- active learning
- multi task
- color information
- feature selection
- semi supervised learning
- reinforcement learning
- high dimensional
- texture images
- principal component analysis
- supervised learning
- dimensionality reduction
- collaborative filtering
- pattern recognition
- local binary pattern
- data points
- knn
- neural network
- learning algorithm
- target domain
- object recognition
- image analysis
- texture classification
- multi class
- semi supervised
- kernel function
- text categorization
- text mining
- support vector