André Tavares da Silva

Learn More
Recently some CBIR approaches have shown the use of relevance feedback to train a pattern classifier to select relevant images for retrieval. This paper revisits this strategy by using an optimum-path forest (OPF) classifier. During relevance feedback iterations, the proposed method uses the OPF classifier to decide which database images are relevant or(More)
Keywords: Content-based image retrieval Optimum-path forest classifiers Composite descriptor Genetic programming Multi-scale parameter search Image pattern analysis a b s t r a c t In content-based image retrieval (CBIR) using feedback-based learning, the user marks the relevance of returned images and the system learns how to return more relevant images in(More)
The use of remote sensing images as a source of information in agribusiness applications is very common. In those applications, it is fundamental to know how the space occupation is. However, identification and recognition of crop regions in remote sensing images are not trivial tasks yet. Although there are automatic methods proposed to that, users very(More)
Many real-world networks, such as the Internet, social networks, biological networks are massive in size, which difficult different processing and analysis tasks. For this reason, it is necessary to apply a sampling process to reduce the network size without losing relevant network information. In this paper, we propose a new and intuitive sampling method(More)
  • 1