Exploiting Approximate Feature Extraction via Genetic Programming for Hardware Acceleration in a Heterogeneous Microprocessor.
Hongyang JiaNaveen VermaPublished in: IEEE J. Solid State Circuits (2018)
Keyphrases
- genetic programming
- feature extraction
- ibm zenterprise
- circuit design
- symbolic regression
- fitness function
- image processing
- hardware and software
- low cost
- evolutionary computation
- evolutionary algorithm
- instruction set
- input output
- feature vectors
- gene expression programming
- genetic algorithm
- high speed
- pattern classification
- face recognition
- financial forecasting
- computer systems
- linear feature extraction
- grammar guided genetic programming
- preprocessing
- real time
- floating point arithmetic
- memory subsystem
- heterogeneous computing
- computing systems
- texture analysis
- principal component analysis
- dimensionality reduction
- feature selection
- floating point
- feature space
- hardware implementation
- wavelet transform
- iris recognition
- chip design
- frequency domain
- special purpose hardware
- support vector machine svm
- texture features
- hardware architecture
- extracted features
- design methodology