Abstract In this paper we propose a reduced-reference quality assessment algorithm which computes an approximation of the Structural SIMilarity (SSIM) metrics exploiting coding too...
Marco Tagliasacchi, Giuseppe Valenzise, Matteo Nac...
In a new approach to large-scale extraction of facts from unstructured text, distributional similarities become an integral part of both the iterative acquisition of high-coverage...
Marius Pasca, Dekang Lin, Jeffrey Bigham, Andrei L...
Traditional semantic web query languages support a logicbased access to the semantic web. They offer a retrieval (or reasoning) of data based on facts. On the traditional web and...
In this study we propose sketching algorithms for computing similarities between hierarchical data. Specifically, we look at data objects that are represented using leaf-labeled t...
The systematic testing of the very many parameters and algorithmic variants involved in the design of high-level music descriptors at large, and similarity measure in particular, ...