A center-biased graph learning algorithm for image classification.
GiRyong ChoiChae-Gyun LimHo-Jin ChoiPublished in: BigComp (2017)
Keyphrases
- image classification
- learning algorithm
- bag of words
- machine learning
- feature extraction
- image representation
- random walk
- graph representation
- training data
- directed graph
- multi label
- structured data
- graph partitioning
- graph model
- bipartite graph
- machine learning algorithms
- training samples
- image features
- active learning
- artificial neural networks
- graph structure
- graph based algorithm
- learning scheme
- reinforcement learning
- graph theory
- back propagation
- pairwise
- learning models
- connected components
- data sets
- generalization ability
- generalization error
- directed acyclic graph
- graph mining
- sparse representation
- graph databases
- spanning tree
- high quality
- feature selection
- edge weights
- supervised learning