Noise robustness of heterogeneous features employing minimum classification error feature space transformations.
Heidi ChristensenBørge LindbergOve AndersenPublished in: INTERSPEECH (2000)
Keyphrases
- feature space
- minimum classification error
- high dimensional
- kernel function
- training set
- feature vectors
- noise level
- mean shift
- statistical pattern recognition
- classification accuracy
- data points
- principal component analysis
- kernel methods
- speech recognition
- image segmentation
- low dimensional
- support vector machine
- high dimensional feature space
- pattern recognition
- face recognition