Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
In this paper, based on the study of the specificity of historical printed books, we first explain the main error sources in classical methods used for page layout analysis. We sho...
Jean-Yves Ramel, S. Leriche, M. L. Demonet, S. Bus...
Software systems are increasingly being built as compositions of reusable artifacts (components, frameworks, toolkits, plug-ins, APIs, etc) that have non-trivial usage constraints...
The intent-oriented search diversification methods developed in the field so far tend to build on generative views of the retrieval system to be diversified. Core algorithm compon...