A Rounding Method to Reduce the Required Multiplier Precision for Goldschmidt Division.
Inwook KongEarl E. Swartzlander Jr.Published in: IEEE Trans. Computers (2010)
Keyphrases
- high accuracy
- high precision
- fully automatic
- detection method
- preprocessing
- significant improvement
- experimental evaluation
- computational cost
- objective function
- neural network
- color images
- prior knowledge
- cost function
- data sets
- k means
- classification accuracy
- knn
- artificial neural networks
- optimization algorithm
- computational complexity
- synthetic data
- segmentation method