Learning from Mistakes: Object Movement Classification by the Boosted Features.
Shigeyuki OdashimaTomomasa SatoTaketoshi MoriPublished in: ACCV Workshops (1) (2010)
Keyphrases
- feature vectors
- feature extraction
- classification accuracy
- classification models
- feature set
- supervised learning
- visual object recognition
- pattern recognition
- learning algorithm
- feature space
- supervised learning algorithms
- reinforcement learning
- learning curve
- incremental learning
- feature construction
- unsupervised learning
- classification process
- image features
- active learning
- prior knowledge
- machine learning
- text classification
- d objects
- benchmark datasets
- learning tasks
- learning process
- discriminatively trained
- selecting features
- neural network
- positive and unlabeled examples
- feature representation
- feature subset
- support vector machine svm
- decision trees
- feature selection algorithms
- feature values
- background clutter
- learning phase
- learning models
- discriminative learning
- feature analysis
- classification method
- svm classifier
- image classification