Tag Archives: IEEE TIFS

Data-Driven Feature Characterization Techniques for Laser Printer Attribution

Laser printer attribution is an increasing problem with several applications, such as pointing out the ownership of crime proofs and authentication of printed documents. However, most of the existing methods are limited by modeling assumptions about printing artifacts. In this … Continue reading

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RECOD within IEEE T-IFS popular articles

According to the top 50 most frequently downloaded articles for IEEE Transactions on Information Forensics and Security (T-IFS), RECOD is there with two articles. These statistics were taken from August 2016. Sorting the list by most cited (by papers), our … Continue reading

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T-IFS: Authorship Attribution for Social Media Forensics

We are glad to announce that our paper entitled “Authorship Attribution for Social Media Forensics” has been accepted at the IEEE Transactions on Information Forensics and Security (T-IFS), Volume PP Issue 99, 2016. The goal of the presented research work … Continue reading

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Manifold Learning and Spectral Clustering for Image Phylogeny Forests

Taking advantage of data clustering techniques in the multimedia analysis context, the paper entitled “Manifold Learning and Spectral Clustering for Image Phylogeny Forests” describes how to find the image phylogeny forests based on images that inherit content from a single … Continue reading

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Illuminant-based Transformed Spaces for Image Forensics

We live in a digital age where images are considered one of the most powerful communication media. In this context, the development of methods for verifying image authenticity is a real need of the modern society. In this research paper, … Continue reading

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Paper on Multiple Parenting Phylogeny accepted on IEEE Transaction on Information Security and Forensics

Coming as a great result from a partnership between RECOD and two Italian universities (University of Florence and University of Siena) a paper on Multiple Parenting Phylogeny was accepted on IEEE Transaction on Information Security and Forensics. The work was … Continue reading

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Septimana mirabilis at RECOD

We had a sequence of great results at RECOD in the past few days : A CNPq “Universal” Project coordinated by Prof. Siome Goldenstein —”Graph-Signal Processing for Semi-Supervised Learning” — was accepted at “Grade C” (the largest) ; Prof. Anderson Rocha … Continue reading

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