Sparsity Issues in Self-Organizing-Maps for Structures.
Markus HagenbuchnerGiovanni Da San MartinoAh Chung TsoiAlessandro SperdutiPublished in: ESANN (2011)
Keyphrases
- self organizing maps
- neural network
- competitive learning
- unsupervised learning
- som neural network
- neural gas
- input data
- network anomaly detection
- active learning
- topology preserving
- computer vision
- high dimensional input data
- principal component analysis
- probabilistic model
- high dimensional
- feature extraction
- image processing
- learning algorithm