Flexible and Discriminative Non-linear Embedding with Feature Selection for Image Classification.
Ruifeng ZhuFadi DornaikaYassine RuichekPublished in: ICPR (2018)
Keyphrases
- image classification
- feature selection
- feature extraction
- discriminative features
- class specific
- visual classification
- text categorization
- gaussian process latent variable models
- multi label
- bag of words
- spatial pyramid
- feature selection algorithms
- unsupervised learning
- classification accuracy
- image representation
- image features
- mutual information
- high dimension
- visual features
- feature set
- irrelevant features
- vector space
- machine learning
- text classification
- class separability
- informative features
- support vector
- dimensionality reduction
- visual dictionary
- discriminative power
- latent space
- semi supervised
- feature space
- high dimensionality
- information gain
- feature subset
- bag of features
- dimension reduction
- probabilistic model
- selected features
- visual words
- support vector machine
- svm classifier
- knn
- multi class
- image processing
- multi task