Classification of meeting-room acoustic events with support vector machines and variable-feature-set clustering.
Andrey TemkoCliment NadeuPublished in: ICASSP (5) (2005)
Keyphrases
- feature set
- classification accuracy
- feature selection
- feature extraction
- feature vectors
- feature space
- random forest
- meeting room
- feature extraction and selection
- feature reduction
- selected features
- feature representation
- extracted features
- class labels
- texture features
- feature selection algorithms
- pattern recognition
- decision trees
- support vector machine
- image classification
- feature subset
- data sets
- image data
- image processing
- support vector
- training data