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This paper investigates the effects of using limited precision for efficient implementations of the RBF-M neural network. This architecture employs only simple arithmetic operators and is characterized by simple LMS training in an expanded feature space generated by RBF functions centered around support vectors selected via a simple algorithm. The classification performances of our low complexity,...
This paper describes a novel adaptive solution system for electromagnetic field problems. The solution method is based on a meshless approach and thus the preprocessing effort is minimized. The positions of the nodes used for this solution are determined adaptively using a Kohonen neural network (NN). The objective of the proposed approach is to obtain an optimal placing of the nodes before adding...
The kernel weighted k-nearest neighbours (KWKNN) algorithm is an efficient kernel regression method that achieves competitive results with lower computational complexity than least-squares support vector machines and Gaussian processes. This paper presents the parallel implementation on a cluster platform of the sequential KWKNN implemented in Matlab. This implies both the parallelization of the k...
One of the Internetpsilas hallmark is the rapid spread of the use of information and communication technology. This has boosted methods for hiding stego information inside digital cover content images which is a concerning issue in information security. On the other hand, attack of steganographic schemes has leveraged methods for steganalysis which is a challenging problem. In this paper, first we...
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