Multi-class Detection of Arrhythmia Conditions Through the Combination of Compressed Sensing and Machine Learning.
Giovanni RosaMarco RussodivitoGennaro LaudatoAngela Rita ColavitaLuca De VitoFrancesco PicarielloSimone ScalabrinoIoan TudosaRocco OlivetoPublished in: BIOSTEC (Selected Papers) (2021)
Keyphrases
- multi class
- compressed sensing
- machine learning
- object detection
- support vector machine
- image reconstruction
- multi class object detection
- feature selection
- multi class classification
- pairwise
- random projections
- natural images
- decision trees
- signal processing
- binary classification
- multiple classes
- pattern recognition
- sparse representation
- error correcting output codes
- multi class boosting
- multi class classifier
- fourier domain
- data sets
- model selection
- data analysis