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Moreover, a novel graph representation is developed for the problem.
In "A novel graph clustering-based approach", the new algorithms are presented with related design issues being explained.
This paper presents a novel graph clustering-based discretization algorithm that encodes different similarity measures into a graph representation of the examined data.
In this note we discuss a novel graph partitioning problem, namely continuous graph partitioning, and we discuss its application to the design of surveillance trajectories for camera networks.
In order to solve the aforementioned problems, this study presents a novel graph clustering based algorithm that allows encoding of different similarity measures into a graph representation of the examined data.
In order to express security requirements of an application, we propose a novel graph model called Security-Aware Task (SEAT) graph model to represent real-time constraints and precedence relationships among tasks.
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We present a novel graph-based method for the detection of botnets in a computer network.
Within this scope, a novel graph-based methodology to split the parameter space into orthogonal subspaces has been devised.
Our main contributions can be summarized as: We present a novel graph-based method for the detection of botnets in a computer network.
In this paper, we propose a novel graph-based relatedness assessment method using Wikipedia features to avoid some of the limitations and drawbacks mentioned above.
In this paper, we design and implement a novel graph-based min-cut/max-flow algorithm that incorporates topology priors as global constraints.
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