On the Influence of Feature Selection and Regression Models on the Decoding Accuracy of Seen and Imagery Objects Using Hierarchical Visual Features.
Donghong XiePublished in: ICHMI (2022)
Keyphrases
- visual features
- regression model
- visual appearance
- feature selection
- visual information
- image classification
- visual data
- model selection
- low level
- visual content
- image retrieval
- keywords
- image search
- visual patterns
- classification accuracy
- text classification
- low level features
- information gain
- multiple linear regression
- semantic concepts
- machine learning
- explanatory variables
- web images
- visual attributes
- regression methods
- semantic gap
- image collections
- text categorization
- computer vision
- feature space
- support vector
- low level visual features
- multimedia
- information retrieval
- knn
- regression trees
- similarity measure