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Backward-Forward Algorithm: An Improvement towards Extreme Learning Machine
The extreme learning machine needs a large number of hidden nodes to generalize a single hidden layer neural network for a given training data-set.
A Survey on Two Dimensional Cellular Automata and Its Application in Image Processing
Parallel algorithms for solving any image processing task is a highly demanded approach in the modern world.
A Cellular Automata based Optimal Edge Detection Technique using Twenty-Five Neighborhood Model
Edge detection is one of the crucial task in image processing, especially in processing biological and medical images.
An Efficient Edge Detection Technique by Two Dimensional Rectangular Cellular Automata
This paper proposes a new pattern of two dimensional cellular automata linear rules that are used for efficient edge detection of an image.
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