Weakly supervised classification through manifold learning and rank-based contextual measures.
João Gabriel Camacho PresottoLucas Pascotti ValemNikolas Gomes de SáDaniel Carlos Guimarães PedronetteJoão Paulo PapaPublished in: Neurocomputing (2024)
Keyphrases
- manifold learning
- weakly supervised
- semi supervised
- dimension reduction
- feature extraction
- dimensionality reduction
- low dimensional
- pattern recognition
- high dimensional
- feature space
- support vector
- decision trees
- high dimensional data
- text classification
- image classification
- supervised learning
- high dimensionality
- superpixels
- feature set
- graph cuts
- semi supervised learning
- support vector machine
- active learning
- training set
- object class
- relation extraction
- image processing