Random forest classification based acoustic event detection utilizing contextual-information and bottleneck features.
Xianjun XiaRoberto TogneriFerdous Ahmed SohelDavid HuangPublished in: Pattern Recognit. (2018)
Keyphrases
- contextual information
- random forest
- feature set
- event detection
- decision trees
- classification accuracy
- contextual features
- feature vectors
- context aware
- feature extraction
- feature selection
- feature space
- spatial context
- classification models
- ensemble classifier
- benchmark datasets
- class labels
- activity recognition
- feature subset
- decision tree learning algorithms
- support vector machine
- ensemble methods
- conditional random fields
- prior knowledge
- low level
- machine learning methods
- high dimensional
- training samples
- image retrieval
- text classification
- training data
- supervised learning
- machine learning