Tag Archives: Convolutional Neural Networks

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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Seminars on Deep Learning by invited professor Matthieu Cord from UPMC/France

As announced in a previous post, we are hosting Prof. Matthieu Cord, from Pierre et Marie Curie University / Paris. The seminar last Friday was a total success and the slides are available to download here. Tomorrow he will offer … Continue reading

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Two seminars on Deep Learning by invited professor Matthieu Cord from UPMC/France

We are proud to announce that as part of the France-Brazilian Chairs in São Paulo State / 2016, Prof. Matthieu Cord from Pierre et Marie Curie University / Paris will offer us two seminars on cutting-edge themes related to Deep … Continue reading

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Rate-energy-accuracy optimization of convolutional architectures for face recognition

The problem of automatically detecting and recognizing faces has received significant attention in the past fifty years and systems based on Convolutional Neural Networks (CNNs) or convolutional architectures currently represent the state of the art. In this paper, the authors … Continue reading

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