Tag Archives: Ricardo Torres

RECODists Talks

During the last weeks, RECODists were performing several talks about the research projects we have been carrying on. They are: “Toward a Safer Digital World: Fighting Sensitive Content Online” at SECOMP UFSCar 2017 – Anderson Rocha “Aprendizado de Máquina em … Continue reading

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Talk: Remote Sensing Image Analysis in Phenology Studies: Challenges and Research Opportunities

Next Friday, on October 20th, Prof. Ricardo Torres will talk about Remote Sensing Image Analysis in Phenology Studies: Challenges and Research Opportunities at the Workshop on Pattern Recognition for Earth Observation in conjunction with the SIBGRAPI 2017 – Conference on … Continue reading

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Talk: Remote Sensing Image Analysis in Phenology Studies

Tomorrow, on Oct 6th 2017 at 14h IC/Unicamp auditorium, Prof. Ricardo Torres will give a talk about Remote Sensing Image Analysis in Phenology Studies. The talk is part of the Institute of Computing weekly seminars series of 2017. Title: Remote … Continue reading

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Two Ph.D. thesis defense: Hilario Seibel and Danille Rodrigues

The RECODists Hilario Seibel Jr. and Daniele Rodrigues have earned their Ph.D. degrees last Friday September 29th at IC/Unicamp. The details are shown below: Ph.D. candidate: Hilario Seibel Title: Super-resolution in low-quality videos for forensics, surveillance, and mobile applications Supervisor: … Continue reading

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FAPESP Thematic Projects at RECOD

RECOD Lab. has been awarded two Fapesp Thematic Projects recently. This is an AMAZING achievement for our lab. and for IC/Unicamp, especially during this tough financial moment in our country. The two projects, entitled “DéjàVu: Feature-space-time coherence from heterogeneous data for … Continue reading

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Kuaa: A unified framework for design, deployment, execution, and recommendation of ML experiments

Several libraries and machine-learning frameworks have been proposed in the literature to support users in the process of defining the most appropriate methods for their applications. However, many frameworks have limitations including the lack of flexibility to include novel proposed … Continue reading

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Patent: “Two-tiered method and apparatus for fast and accurate face verification on mobile devices”

Yesterday the BioLive team celebrated their patent request approval by Motorola. This patent, entitled “Two-tiered method and apparatus for fast and accurate face verification on mobile devices”, is an important result of a collaborative research project between RECOD and Motorola. … Continue reading

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A graph-based ranked-list model for unsupervised distance learning on shape retrieval

Several re-ranking algorithms have been proposed recently. Some effective approaches are based on complex graph-based diffusion processes, which usually are time consuming and therefore inappro- priate for real-world large scale shape collections. In this article, the authors present a novel … Continue reading

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A correlation graph approach for unsupervised manifold learning in image retrieval tasks

In this paper, the authors Daniel Pedronette and Ricardo Torres, discuss a novel unsupervised manifold learning algorithm, which aims at imitating the human behavior in judging similarity among images. The proposed algorithm exploits unlabeled contextual information encoded in the dataset … Continue reading

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On Interactive Learning-to-Rank for IR: Overview, Recent Advances, Challenges, and Directions

In this article, the authors deal with the problem of creating interactive information retrieval (IIR) systems nowadays. The work reviews several interactive retrieval related aspects focusing mainly on recent advances, important challenges and promising research directions. The paper shows that, … Continue reading

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