Multiple kernel learning using data envelopment analysis and feature vector selection and projection.
Gitimoni SaikiaSaroj ShivagundeVijaya V. SaradhiRaghvendra Dhirendra KannaoPrithwijit GuhaPublished in: ICPR (2016)
Keyphrases
- data envelopment analysis
- multiple kernel learning
- feature vectors
- input output
- linear combination
- kernel methods
- multiple features
- dea models
- semi supervised learning
- linear programming
- multi criteria
- feature space
- feature selection
- image features
- kernel function
- euclidean distance
- binary classification
- feature extraction
- support vector machine
- feature set
- dea model
- learning problems
- similarity measure
- neural network
- upper bound
- supervised learning
- support vectors
- decision making
- semi supervised