Combining Independent Component Analysis and Self-Organizing Maps for Cell Image Classification.
Tanja KämpfeTim W. NattkemperHelge J. RitterPublished in: DAGM-Symposium (2001)
Keyphrases
- independent component analysis
- self organizing maps
- image classification
- independent components
- principal component analysis
- factor analysis
- neural network
- signal processing
- blind source separation
- neural gas
- unsupervised learning
- feature extraction
- independent subspace analysis
- source separation
- image representation
- image features
- visual features
- k means
- input data
- multiscale
- natural gradient
- network anomaly detection
- non stationary
- dimensionality reduction
- image data
- face recognition
- source signals
- blind separation
- feature selection