BiometricBlender: Ultra-high dimensional, multi-class synthetic data generator to imitate biometric feature space.
Marcell StippingerDávid HanákMarcell T. KurbuczGergely HanczárOlivér M. TörteliZoltán SomogyváriPublished in: SoftwareX (2023)
Keyphrases
- synthetic data
- multi class
- high dimensional
- feature space
- support vector machine
- feature selection
- high dimensionality
- low dimensional
- feature extraction
- dimensionality reduction
- data sets
- kernel function
- input space
- nearest neighbor
- data points
- high dimensional feature space
- real image data
- real world
- pairwise
- variable selection
- feature vectors
- multi class classification
- hyperplane
- training samples
- high dimensional data
- object detection
- multiple classes
- base classifiers
- binary classification
- linear classifiers
- nearest neighbor search
- mean shift
- binary classifiers
- cost sensitive
- multi class svm
- training set
- multi class boosting
- image representation
- classification accuracy
- kernel methods
- medical images
- feature subset
- sparse coding
- original data
- visual words
- error correcting output codes
- principal component analysis
- feature set