The heterogeneous feature selection with structural sparsity for multimedia annotation and hashing: a survey.
Fei WuYahong HanXiang LiuJian ShaoYueting ZhuangZhongfei ZhangPublished in: Int. J. Multim. Inf. Retr. (2012)
Keyphrases
- feature selection
- multimedia
- metadata
- content description
- multimedia content
- semantic annotation
- text categorization
- multimedia databases
- text classification
- high dimensional
- cross media
- active learning
- sparse representation
- mutual information
- multimedia data
- machine learning
- information gain
- feature selection algorithms
- structural information
- random projections
- multimedia collections
- support vector
- feature set
- feature engineering
- multimedia information retrieval
- cultural heritage
- digital libraries
- high dimensionality
- multi class
- microarray data
- model selection
- order preserving
- feature extraction
- automatic annotation
- data structure
- gene expression data
- image annotation
- support vector machine
- hash functions
- feature space
- image retrieval
- discriminative features
- multimedia documents
- dimensionality reduction
- feature subset
- irrelevant features
- dimension reduction
- face recognition
- data sets