Search Results - "Traina, Agma JM"

Establishing trajectories of moving objects without identities: The intricacies of cell tracking and a solution by Cazzolato, Mirela T., Traina, Agma J.M., Böhm, Klemens

“…Storing, querying, predicting, and interpolating trajectories of moving objects is a topic which the database community has studied for decades. We study a new…”
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BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture Analysis by Chino, Daniel Y. T., Avalhais, Letricia P. S., Rodrigues, Jose F., Traina, Agma J. M.

“…Emergency events involving fire are potentially harmful, demanding a fast and precise decision making. The use of crowd sourcing image and videos on crisis…”
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Improving the ranking quality of medical image retrieval using a genetic feature selection method by da Silva, Sérgio Francisco, Ribeiro, Marcela Xavier, Batista Neto, João do E.S., Traina-Jr, Caetano, Traina, Agma J.M.

“…In this paper, we take advantage of single-valued functions that evaluate rankings to develop a family of feature selection methods based on the genetic…”
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Exploratory Data Analysis in Electronic Health Records Graphs: Intuitive Features and Visualization Tools by Cazzolato, Mirela T., Gutierrez, Marco Antonio, Traina, Caetano, Faloutsos, Christos, Traina, Agma J.M.

“…Given a large, unlabeled set of Electronic Health Records (EHRs) acquired from multiple hospitals, how can we analyze the available entities and identify…”
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Approximate XML structure validation based on document–grammar tree similarity by Tekli, Joe, Chbeir, Richard, Traina, Agma J.M., Traina, Caetano, Fileto, Renato

“…Comparing XML documents with XML grammars, also known as XML document and grammar validation, is useful in various applications such as: XML document…”
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Querying on large and complex databases by content: Challenges on variety and veracity regarding real applications by Traina, Agma J.M., Brinis, Safia, Pedrosa, Glauco V., Avalhais, Letricia P.S., Traina, Caetano

“…The amount and variety of digital data currently being generated, stored and analyzed, including images, videos, and time series, have brought challenges to…”
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How to speed up outliers removal in image matching by Ramos, Jonathan S., Watanabe, Carolina Y.V., Traina, Caetano, Traina, Agma J.M.

“…•A preprocessing technique to speed up the outliers removal from matched point is proposed.•Almost all inliers are kept while a high portion of the outliers…”
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Encoding Visual Attention Features for Effective Biomedical Images Retrieval by Pedrosa, Glauco Vitor, Traina, Agma J. M.

“…This paper proposes a novel model, called Similarity Based on Visual Attention Features (SimVisual), to enhance the similarity analysis between images by…”
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PRoSPer: Perceptual similarity queries in medical CBIR systems through user profiles by Bugatti, Pedro H, Kaster, Daniel S, Ponciano-Silva, Marcelo, Traina, Caetano, Azevedo-Marques, Paulo M, Traina, Agma J.M

“…Abstract In this paper, we present a novel approach to perform similarity queries over medical images, maintaining the semantics of a given query posted by the…”
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Open issues for partitioning clustering methods: an overview by Barioni, Maria Camila N., Razente, Humberto, Marcelino, Alessandra M. R., Traina, Agma J. M., Traina Jr, Caetano

“…Over the last decades, a great variety of data mining techniques have been developed to reach goals concerning Knowledge Discovery in Databases. Among them,…”
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Accelerating k-medoid-based algorithms through metric access methods by Barioni, Maria Camila N., Razente, Humberto L., Traina, Agma J.M., Traina, Caetano

“…Scalable data mining algorithms have become crucial to efficiently support KDD processes on large databases. In this paper, we address the task of scaling up…”
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Findings on ranking evaluation functions for feature weighting in image retrieval by da Silva, Sergio F, Avalhais, Letricia PS, Batista, Marcos A, Barcelos, Celia AZ, Traina, Agma JM

“…Background There are substantial benefits to be gained from ranking optimization in several information retrieval and recommendation systems. However, the…”
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Using an image-extended relational database to support content-based image retrieval in a PACS by Traina, Caetano, Traina, Agma J.M., Araújo, Myrian R.B., Bueno, Josiane M., Chino, Fabio J.T., Razente, Humberto, Azevedo-Marques, Paulo M

“…This paper presents a new Picture Archiving and Communication System (PACS), called cbPACS, which has content-based image retrieval capabilities. The cbPACS…”
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The spatial-perceptual design space: a new comprehension for data visualizations by Rodrigues, Jose Fernando, Traina, Agma Jm, De Oliveira, Maria Cristina F, Traina, Caetano

“…We revisit the design space of visualizations aiming at identifying and relating its components. In this sense, we establish a model to examine the process…”
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The spatial-perceptual design space: a new comprehension for data visualization by Rodrigues, José Fernando, Traina, Agma JM, de Oliveira, Maria Cristina F., Traina, Caetano

“…We revisit the design space of visualizations aiming at identifying and relating its components. In this sense, we establish a model to examine the process…”
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Combining Diversity Queries and Visual Mining to Improve Content-Based Image Retrieval Systems: The DiVI Method by Santos, Lucio F. D., Dias, Rafael L., Ribeiro, Marcela X., Traina, Agma J. M., Traina, Caetano

“…This paper proposes a new approach to improve similarity queries with diversity, the Diversity and Visually-Interactive method (DiVI), which employs Visual…”
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Self Similarity Wide-Joins for Near-Duplicate Image Detection by Olmes Carvalho, Luiz, Santos, Lucio F. D., Oliveira, Willian D., Traina, Agma J. M., Traina, Caetano

“…Near-duplicate image detection plays an important role in several real applications. Such task is usually achieved by applying a clustering algorithm followed…”
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3D reconstruction of magnetic resonance imaging using largely spaced slices by Traina, A.J.M., Prado, A.H.M.A., Bueno, J.M.

“…This paper presents a full reconstruction process of magnetic resonance images. The first step is to bring the acquired data from the frequency domain, using a…”
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