Exceeding the Efficiency of Distributed Approximate Algorithms Enabling by the Multiplexing Method.
Yasuki IizukaKayo IizukaPublished in: KES (3) (2011)
Keyphrases
- computational efficiency
- computational complexity
- significant improvement
- computational cost
- theoretical analysis
- high precision
- memory usage
- highly efficient
- detection method
- high computational complexity
- alternative methods
- computationally efficient
- search methods
- synthetic and real data sets
- recently developed
- data structure
- preprocessing
- pairwise
- clustering method
- distributed environment
- similarity measure
- hybrid method
- neural network
- optimization problems
- edge detection
- data sets
- exhaustive search
- learning algorithm
- experimental evaluation
- combinatorial optimization
- synthetic data
- segmentation algorithm
- cost function
- dynamic programming
- denoising
- classification accuracy