Preprocessing for classification of sparse data: Application to trajectory recognition.
Aurélien MayoueQuentin BarthelemyS. OnisAnthony LaruePublished in: SSP (2012)
Keyphrases
- sparse data
- preprocessing
- feature extraction
- multi category
- pattern recognition
- pattern recognition tasks
- automatic recognition
- object recognition
- preprocessing stage
- feature space
- emerging patterns
- high dimensional
- machine learning
- preprocessing phase
- unsupervised learning
- text classification
- supervised learning
- feature vectors
- support vector
- computer vision
- image classification
- feature set
- support vector machine
- training set
- feature selection
- data sets