Category Archives: publications

scholarly publications of RECOD members

History matching through dynamic decision-making

History matching is the process of modifying the uncertain attributes of a reservoir model to reproduce the real reservoir performance. It is a classical reservoir engineering problem and plays an important role in reservoir management since the resulting models are … Continue reading

Posted in blog, publications, science | Tagged , , , , , , , , , , , , | Leave a comment

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

Posted in blog, publications, science | Tagged , , , , , , , , , , , , , | Leave a comment

New dissimilarity measures for image phylogeny reconstruction

Image phylogeny is the problem of reconstructing the structure that represents the history of generation of semantically similar images (e.g., near-duplicate images). Typical image phylogeny approaches break the problem into two steps: (1) estimating the dissimilarity between each pair of … Continue reading

Posted in blog, publications, science | Tagged , , , , , , , , , , , | Leave a comment

Temporal robust features for violence detection

Automatically detecting violence in videos is paramount for enforcing the law and providing the society with better policies for safer public places. In addition, it may be essential for protecting minors from accessing inappropriate contents on-line, and for helping parents … Continue reading

Posted in blog, publications, science | Tagged , , , , , , , , , , , , , | Leave a comment

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

Posted in blog, publications, science | Tagged , , , , , | Leave a comment

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

Posted in blog, publications, science | Tagged , , , , , , , | Leave a comment

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

Posted in blog, publications, science | Tagged , , , , , , , , , , , , , , | 1 Comment

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

Posted in awards, blog, publications, science | Tagged , , , , , | Leave a comment

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

Posted in blog, publications, science | Tagged , , , , , , , | Leave a comment

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

Posted in blog, publications, science | Tagged , , , , , , | Leave a comment