From neuronal cost-based metrics towards sparse coded signals classification.
Anthony MouraudQuentin BarthelemyAurélien MayoueCédric Gouy-PaillerAnthony LarueHélène Paugam-MoisyPublished in: ESANN (2012)
Keyphrases
- machine learning
- dictionary learning
- decision trees
- classification scheme
- automatic classification
- classification method
- decision rules
- cost sensitive
- pattern classification
- image classification
- pattern recognition
- signal processing
- high dimensional
- feature vectors
- classification algorithm
- data sets
- classification accuracy
- support vector machine
- classification systems
- support vector
- cost sensitive learning
- cost sensitive classification
- microarray
- sparse representation
- machine learning methods
- unsupervised learning
- total cost
- preprocessing
- supervised learning
- sparse data
- signal reconstruction