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A new approach to digital image signatures (watermarks) is proposed in this study. An image signature algorithm consists of two stages : signature casting and signature detection. In the first stage, small changes are embedded in the image which afterwards are identified in the second stage. After chosing certain pixel blocks from the image, a constraint is embedded among their Discrete Cosine Transform...
With the proliferation of the World Wide Web, graph structures have arisen on social network/media sites. Such graphs usually number several million nodes, i.e., they can be characterized as Big Data. Graph clustering is an important analysis tool for other graph related tasks, such as compression, community discovery and recommendation systems, to name a few. We propose a novel extension to a graph...
This paper is meant as a proof of concept regarding the application of standard 2D signal representation and feature extraction tools that have wide use in their respective fields to graph related pattern recognition tasks such as, in this case, clustering. By viewing the adjacency matrix of a graph as a 2-dimensional signal, we can apply 2D Discrete Cosine Transform (DCT) to it and use the relation...
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