Prototype Selection for Graph Embedding Using Instance Selection.
Magdiel Jiménez-GuarnerosJesús Ariel Carrasco-OchoaJosé Francisco Martínez TrinidadPublished in: MCPR (2015)
Keyphrases
- prototype selection
- instance selection
- graph embedding
- nearest neighbor
- semi supervised
- low dimensional
- dimensionality reduction
- discriminant analysis
- feature selection
- high dimensional
- selection algorithm
- semi supervised learning
- k nearest neighbor
- multiple instance learning
- knn
- text classification
- data reduction
- supervised learning
- data points
- high dimensional data
- training set
- classification accuracy
- index structure
- multi class
- classification rules
- distance function
- co training
- unsupervised learning
- neural network
- data sets
- data distribution
- pairwise
- query processing
- image retrieval
- genetic programming
- face recognition
- computer vision
- machine learning
- support vector machine