Nicolas Sidere

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In this paper, we investigate a specific area of document classification in which the documents come as a flow over the time. Moreover, the exact number of classes of document to deal with is not known from the beginning and could evolve over the time. To be able to perform classification task in such area, we need specific classifiers that are able to(More)
In recent years graph embedding has emerged as a promising solution for enabling the expressive, convenient, powerful but computational expensive graph based representations to benefit from mature, less expensive and efficient state of the art machine learning models of statistical pattern recognition. In this paper we present a comparison of two implicit(More)
This article presents a vectorial representation of structured data to reduce the complexity of dissimilarity computations in an information retrieval context. This representation enables, via a computation of an adapted measure, to approximate the distance between structural representations in both context of distance between graphs and searching(More)
In this paper, we are interested with the groundtruthing problem for performance evaluation of symbol recognition & spotting systems. We propose a complete framework based on user interaction scheme through a tactile device, exploiting image processing components to achieve groundtruthing of real-life documents in an semi-automatic way. It is based on a(More)
A huge amount of printed documents were published and distributed during the 15th century. In order to protect this inheritance, a digitalization campaign is held on these documents. The mass of documents generated by digitization create a problem to retrieve and to index them. This paper presents a french collaborative project that brings together seven(More)
In this paper, we are interested with the groundtruthing problem for performance evaluation of symbol recognition & spotting systems. We propose a complete framework based on user interaction scheme through a tactile device, exploiting image processing components to achieve groundtruthing of real-life documents in an semi-automatic way. It is based on a(More)
In the last decades, the explosion of the volume of digital document images, and the development of consumer tools to modify these images, has lead to a huge increase on reported fraudulent document cases. This situation has promoted the development of automatic methods for both preventing forgeries in modified documents and detecting them. However,(More)
RÉSUMÉ. Utilisée dans un contexte industriel, la classification d’images de documents nécessite le respect de certaines contraintes; par exemple, être confronté à une grande variabilité des documents et/ou du nombre de classes. Dans cet article, nous répondons à ce problème en présentant une nouvelle approche basée sur la spécialisation du vecteur de(More)
In this paper, we explore the concept of augmented document and present a new user experience to digitize a document, modify its layout and edit its content by designing speci c interfaces on multi-touch devices and using advanced techniques in document analysis. This framework exploits image processing tools to facilitate manipulations that are natural(More)