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In wireless sensor networks, Intrusion Detection through sensor monitoring allows locating intricate security attacks like denial of service and routing attacks. Nevertheless, the monitoring process observing sensors behavior can induce an important energy and bandwidth overhead. Furthermore, the monitors can be attacked and their observations would be corrupted. In this paper, we propose an adaptable...
We propose a discriminative texture feature based on a recent discrete implementation of the curvelet transform, namely the uniform discrete curvelet transform (UDCT). Several approaches including either statistical methods or spectral methods have been considered to describe the characteristics of textured surface. Anyhow, most of the proposed texture features are sensitive to rotation variations...
Several evolutionary algorithms (EAs) are proposed in the literature to solve continuous optimisation problems. In this paper we present a new search startegy to improve the efficiency of the Shuffled Frog Leaping Algorithm (SFLA). The shuffled frog leaping algorithm is a population-based approach for a heuristic search in optimization problems. The algorithm consists of a set of virtual frogs partitioned...
We propose a discriminative texture feature based on a recent discrete implementation of the curvelet transform, namely the uniform discrete curvelet transform (UDCT). Several approaches including either statistical methods or spectral methods have been considered to describe the characteristics of textured surface. Anyhow, most of the proposed texture features are sensitive to rotation variations...
This paper introduces a new idea of using the Self-Organizing Map to compare the similarity between the synthesized textures and the original sample in accordance with human visual system. The approaches of texture synthesis do not provide convincing results for all types of textures, since it is difficult to produce a general definition of this term. So that, we propose to evaluate the quality of...
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