On the use of spectro-temporal features for the IEEE AASP challenge 'detection and classification of acoustic scenes and events'.
Jens SchröderNiko MoritzMarc René SchädlerBenjamin CauchiKamil AdilogluJörn AnemüllerSimon DocloBirger KollmeierStefan GoetzePublished in: WASPAA (2013)
Keyphrases
- event detection
- robust detection
- automatic classification
- classification accuracy
- pattern recognition
- automatic detection
- machine learning
- digital mammograms
- feature extraction
- pattern classification
- support vector machine svm
- classification models
- classification method
- detection method
- detection algorithm
- image classification
- decision trees
- false positives
- support vector machine
- detection rate
- training set
- classification scheme
- computer vision
- supervised learning
- object detection
- semi supervised
- feature vectors
- dynamic scenes
- face recognition
- feature selection