Acoustic detection and classification using temporal and frequency multiple energy detector features.
Jorge MoraguesArturo SerranoLuis VergaraJorge GosálbezPublished in: ICASSP (2011)
Keyphrases
- classification accuracy
- feature set
- feature vectors
- feature extraction
- classification method
- classification process
- feature space
- classification models
- extracting features
- feature extraction and classification
- extracted features
- features extraction
- neyman pearson
- detection method
- discriminative classifiers
- mammogram images
- pattern recognition
- spatially localized
- false positives
- feature selection
- temporal information
- feature analysis
- svm classifier
- class labels
- detection algorithm
- decision trees
- object detection
- classification algorithm
- feature subset
- benchmark datasets
- support vector machine classifier
- feature values
- training set
- virus detection
- adaboost classifier
- machine learning
- support vector
- textural features
- spatio temporal
- object detectors
- false alarms
- feature detection
- detection rate
- spectral features
- image features
- digital mammograms
- mel frequency cepstral coefficients
- training data
- text classification