Sous échantillonnage et machine à noyaux élastiques pour la classification de données de mouvement capturé.
Pierre-François MarteauSylvie GibetClément ReverdyPublished in: EGC (2014)
Keyphrases
- classification accuracy
- machine learning
- supervised learning
- pattern recognition
- support vector machine svm
- machine learning methods
- classification rate
- text classification
- object classification
- classification models
- database
- benchmark datasets
- nearest neighbor
- multi class
- support vector machine
- benchmark data sets
- support vector
- bayesian networks
- supervised classification
- classification process
- automated classification
- classification method
- cross validation
- class labels
- model selection
- feature vectors
- training set
- preprocessing
- decision trees
- feature selection
- computer vision
- real time