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Nowadays, image retrieval systems, emphasize the combining of high level semantics and low level visual features in the image indexing process and of course the performance of such systems for image retrieval is increased with perfect semantic network. In this research, a dynamic high level semantic network in synonym sets of keywords is used and a dynamic(More)
— Several modified LMS algorithms are studied in order to improve the rate of convergence, increase the tracking performance and reduce the computational cost of the regular LMS algorithm. These methods can be divided in two categories: Clipped data algorithms and variable step size algorithms. In this paper a new quantized input variable step size LMS(More)
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