TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs.
Shantanu JaiswalBasura FernandoCheston TanPublished in: ECCV (25) (2022)
Keyphrases
- feature selection
- text categorization
- cellular neural networks
- feature selection algorithms
- feature set
- feature space
- method for feature selection
- machine learning
- information gain
- classification models
- dimensionality reduction
- mutual information
- text classification
- microarray classification
- classification performances
- irrelevant features
- multi class
- classification accuracy
- support vector
- model selection
- high dimensionality
- microarray data
- feature subset
- data analysis
- selected features
- feature extraction
- case study
- databases
- data sets
- conditional mutual information
- feature selection and classification
- information systems
- unsupervised feature selection
- feature ranking
- discriminative features