Category Archives: science

high-brow stuff, get your lab coat ready

Talk: Multimedia Integrity Analytics

Today Prof. Anderson Rocha will give a talk at University of Kentucky about Multimedia Integrity Analytics. The talk is part of the university weekly seminars and presentation. Abstract: Currently, multimedia objects can be easily created, stored, (re)-transmitted, and edited for … Continue reading

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Empirical Evaluation of Resampling Procedures for Optimising SVM Hyperparameters

Tuning the regularisation and kernel hyperparameters is a vital step in optimising the generalisation performance of kernel methods, such as the support vector machine (SVM). This is most often performed by minimising a resampling/cross-validation based model selection criterion, however there … Continue reading

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Empirical comparison of cross-validation and internal metrics for tuning SVM hyperparameters

Hyperparameter tuning is a mandatory step for building a support vector machine classifier. In this article, the authors study some methods based on metrics of the training set itself, and not the performance of the classifier on a different test … Continue reading

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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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RECOD wins international competition for melanoma classification

A team of RECOD researchers won the melanoma classification task at the “Skin Lesion Analysis towards Melanoma Detection” challenge promoted by the International Skin Imaging Collaboration (ISIC). RECOD got the third place (among 23 participants) at the skin lesion classification … Continue reading

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Talk: The brave new world of open-set recognition

Being part of a series of four talks that will be given at NTU Singapore, in this fourth talk Prof. Anderson Rocha (RECOD) explored the research field of Open-set Recognition. The talk comprises four parts, each of which lasting approximately … Continue reading

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Talk: Sensitive Video Analysis

Being part of a series of four talks that will be given at NTU Singapore, in this third talk Prof. Anderson Rocha (RECOD) explored the research field of Sensitive Video. Abstract: Sensitive video can be defined as any motion picture … Continue reading

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Talk: Leveraging Spatial, Spectral and Temporal Features for Spoofing Detection in Images and Videos

Being part of a series of four talks that will be given at NTU Singapore, in this second talk Prof. Anderson Rocha (RECOD) will explore the research field of Spoofing Detection in Images and Videos. Abstract: Recent advances on biometrics, … 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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