Tag Archives: Neurocomputing

Video pornography detection through deep learning techniques and motion information

In this paper, the authors deal with a growing issue of our connected society: automated sensitive media (pornographic, violent, gory, etc.) filtering. A range of applications has increased societal interest on the problem, e.g., detecting inappropriate behavior via surveillance cameras; … 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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