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Uncovering shilling attackers hidden in recommender systems is very crucial to enhance the robustness and trustworthiness of product recommendation. Many shilling attack detection algorithms have been proposed so far, and they exhibit complementary advantage and disadvantage towards various types of attacks. In this paper, we provide a thorough experimental comparison of several well-known detectors,...
This paper presents a real-time keypoint matching algorithm using a local descriptor derived by Zernike moments. From an input image, we find a set of key-points by using an existing corner detection algorithm. At each keypoint we extract a fixed size image patch and compute a local descriptor derived by Zernike moments. The proposed local descriptor is invariant to rotation and illumination changes...
An algorithm to detect cracks in concrete bridges for the purpose of automating inspection of concrete bridges is presented. The algorithm combines linear structure modeling with principal component analysis (PCA) to detect cracks in images using a training set. PCA is a classical technique in feature detection; however, to improve the results of such algorithm the linear modeling is prior to PCA...
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