Some Options for L1-subspace Signal Processing.
Panos P. MarkopoulosGeorge N. KarystinosDimitrios A. PadosPublished in: ISWCS (2013)
Keyphrases
- signal processing
- image processing
- low dimensional
- independent component analysis
- pattern recognition
- hardware implementation
- independent components
- feature space
- fourier transform
- principal component analysis
- dimensionality reduction
- linear subspace
- high dimensional data
- computer vision
- neural network
- principal components analysis
- subspace methods
- digital signal processing
- clustering high dimensional data
- principal components
- feature extraction
- information systems
- search strategies
- subspace clustering
- lower dimensional
- high dimensional
- machine learning
- data mining
- signal analysis
- subspace clusters
- real time
- payoff functions