Utilizing High-Dimensional Neural Networks for Pseudo-orthogonalization of Memory Patterns.
Toshifumi MinemotoTeijiro IsokawaHaruhiko NishimuraNobuyuki MatsuiPublished in: ICONIP (1) (2014)
Keyphrases
- neural network
- high dimensional
- auto associative
- pattern recognition
- pattern discovery
- associative memory
- computing power
- fuzzy logic
- nearest neighbor
- high dimensionality
- pattern mining
- design patterns
- parameter space
- training patterns
- memory requirements
- temporal patterns
- learning rules
- memory usage
- sparse data
- memory size
- data sets
- low dimensional
- data mining
- artificial neural networks
- data mining techniques
- high dimensional data
- self organizing maps
- frequent patterns
- multi layer
- noisy data
- feed forward
- multi dimensional
- dimensionality reduction
- data points
- high dimension
- gene expression data
- feature space
- neural network model