(Un)supervised Univariate Feature Extraction and Selection for Dimensional Data.
Patrik CavinaFederico ManzellaGiovanni PagliariniGuido SciaviccoIonel Eduard StanPublished in: itaDATA (2023)
Keyphrases
- dimensional data
- feature extraction and selection
- multi dimensional
- pattern recognition
- high dimensional data
- high dimensional
- feature extraction
- data sets
- feature set
- data points
- learning algorithm
- feature selection
- r tree
- dimensionality reduction
- image processing
- multiscale
- high dimensional data sets
- machine learning
- sparse representation
- neural network
- similarity search
- computer vision
- multimedia