Expansion of a CNN-based image classifier's scope using transfer learning and k-NN. Technical report.
Georgi KadrevGeorgi KostadinovPetko RuskovPublished in: IEEE Conf. on Intelligent Systems (2016)
Keyphrases
- knn
- transfer learning
- k nearest neighbor
- k nearest neighbour
- technical report
- text categorization
- nearest neighbor
- mixed data
- classification algorithm
- k nearest
- learning tasks
- feature selection
- image classification
- similarity measure
- text classification
- machine learning
- knowledge transfer
- nearest neighbour
- labeled data
- learning algorithm
- transfer knowledge
- support vector machine
- image retrieval
- training data
- semi supervised learning
- cross domain
- data mining
- decision trees
- reinforcement learning
- structure learning
- extracted features
- feature space
- feature set
- distance function
- neural network
- training samples