Tag Archives: Deep learning

Leveraging deep neural networks to fight child pornography in the age of social media

Over the past two decades, the nature of child pornography in terms of generation, distribution and possession of images drastically changed, evolving from basically covert and offline exchanges of content to a massive network of contacts and data sharing. Nowadays, … Continue reading

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Our research about pornography detection on the News

Our research about pornography detection, recently published at Neurocomputing, is getting the attention of many News agencies in Brazil. It’s a good indicator to measure the great impact it has into our modern society. All of them are listed below … Continue reading

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Where is my puppy? Retrieving lost dogs by facial features

A pet that goes missing is among many people’s worst fears: a moment of distraction is enough for a dog or a cat wandering off from home. Some measures help matching lost animals to their owners; but automated visual recognition … Continue reading

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RECOD takes 2nd place in the Face Recognition Challenge at the International School on Biometrics

For the last thirteen years, the International Summer School on Biometrics has been closely following the core biometric technologies and their potencial impact in forensic investigation and crime prevention. This year, the 13th IAPR/IEEE International Summer School for Advanced Studies … Continue reading

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Mini-Course on Deep-Learning starts today

As published in a previous post, the mini-course on Deep-Learning offered by Prof. Matthieu Cord from Pierre et Marie Curie University/Paris starts today. It is part of the France-Brazilian Chairs in São Paulo State/2016 and classes shall follow the agenda: … Continue reading

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Second seminar on Deep Learning by Prof. Matthieu Cord

We held last Friday (July 1st) the second seminar on Deep Leaning by Prof. Matthieu Cord from UPMC/France. Prof. Matthieu presented two frameworks: MANTRA, minimum maximum latent structural SVM for image classification and ranking, and WELDON, weakly supervised learning of deep … 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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1st RECOD hands-on deep learning workshop

The first RECOD hands-on deep learning workshop took place on last April 16-17. The workshop was open to all RECODists (students and researchers) and the goal was to take a very practical approach over the basic models of deep learning. … 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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