Feature Space Reduction for Graph-Based Image Classification.
Niusvel Acosta-MendozaAndrés Gago AlonsoJesús Ariel Carrasco-OchoaJosé Francisco Martínez TrinidadJosé Eladio Medina-PagolaPublished in: CIARP (1) (2013)
Keyphrases
- image classification
- feature space
- image representation
- visual words
- feature extraction
- bag of words
- sparse coding
- visual features
- high dimensionality
- mean shift
- image features
- kernel function
- classification accuracy
- high dimensional
- feature vectors
- training samples
- data points
- dimensionality reduction
- principal component analysis
- training set
- input space
- bag of features
- feature selection
- sparse representation
- reduction method
- low dimensional
- graph model
- graph theoretic
- graph based algorithm
- data sets
- semi supervised
- object recognition
- genetic algorithm
- neural network
- input data
- dimension reduction
- hyperplane
- training data
- computer vision
- machine learning