Clustering Classification on FPGAs for Neuromorphic Feature Extraction.
Luke KljucaricAlan D. GeorgePublished in: FCCM (2023)
Keyphrases
- hardware software
- feature extraction
- feature vectors
- pattern classification
- image classification
- classification accuracy
- feature selection
- dimension reduction
- supervised classification
- feature set
- feature space
- unsupervised clustering
- pattern recognition
- support vector machine svm
- clustering method
- preprocessing
- unsupervised classification
- image processing
- data mining and pattern recognition
- decision trees
- feature extraction and classification
- k means
- feature representation
- extracted features
- spectral clustering
- support vector
- classification models
- dimensionality reduction
- unsupervised learning
- discriminant analysis
- high dimensionality
- fisher linear discriminant
- self organizing maps
- neural network
- image feature extraction
- texture feature extraction
- high dimensional data
- gene expression profiles
- supervised learning
- data clustering
- document clustering
- linear discriminant analysis
- class labels