Vasileios Gavriilidis

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Music is an essential part of human life. It is a way to express ourselves. Its importance gave rise to music Recommender Systems (RS) through e-commerce applications. The most commonly used technique in such applications is Collaborative Filtering (CF) that uses the User-Item (UI) matrix. The latter codes the users' preferences for items. The advantage of(More)
In this paper, we propose a novel graph-based kernel method in order to construct histograms for a bag of words approach, by using similarity measures, applied in activity recognition problems. Bag of words is the most popular framework for performing classification on video data. This framework, however, is an orderless collection of features. We propose a(More)
Kernel Methods are algorithms that are widely used, mainly because they can implicitly perform a non–linear mapping of the input data to a high dimensional feature space. In this paper, novel Kernel Matrices, that reflect the general structure of data, are proposed for classification. The proposed Matrices exploit properties of the graph theory, which are(More)
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