Filter bank Kernel Learning for nonstationary signal classification.
Maxime SangnierJérôme GauthierAlain RakotomamonjyPublished in: ICASSP (2013)
Keyphrases
- non stationary
- kernel learning
- filter bank
- image coding
- subband
- multiscale
- multiresolution
- multiple kernel learning
- support vector regression
- kernel function
- wavelet packet
- kernel matrix
- signal processing
- dimensionality reduction
- frequency domain
- computationally efficient
- learning tasks
- wavelet filters
- kernel methods
- semi supervised
- machine learning
- concept drift
- feature space
- feature vectors
- pattern recognition
- feature extraction