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Monthly Archives: January 2017
Modeling plant phenology database: Blending near-surface remote phenology with on-the-ground observations
The study of recurrent life cycles events and its relationship to climate, plant phenology, handles multifaceted information that needs to be organized and made promptly accessed by scientific community. In this paper, the authors propose the conceptual design and implementation … Continue reading
Posted in blog, publications, science
Tagged Bruna Alberton, Database design, Digital images, Ecological Engineering, Greice Mariano, Image-based phenological indices, Jurandy Almeida, Leafing, Leonor Patricia C. Morellato, Maria Gabriela G. de Camargo, Modeling, Remote phenology, Ricardo da S. Torres
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A multimodal query expansion based on genetic programming for visually-oriented e-commerce applications
The article entitled “A multimodal query expansion based on genetic programming for visually-oriented e-commerce applications” presents a novel multimodal query expansion strategy, based on genetic programming (GP), for image search in visually-oriented e-commerce applications. The proposed solution allows finding relevant … Continue reading
Posted in blog, publications, science
Tagged Content-based image retrieval, E-commerce, Edleno S. de Moura, Genetic programming, Information Processing & Management, JIPM, João M.B. Cavalcanti, Marcos A. Gonçalves, Multimodal query expansion, Patrícia C. Saraiva, Ricardo da S. Torres
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Pixel-Level Tissue Classification for Ultrasound Images
This paper presents a new method for classifying tissues in ultrasound imagery at the pixel level. The proposed method is basically composed of 1) image normalization, 2) multiscale description, and 3) classification. The main advantage of the proposed method is … Continue reading
Posted in blog, publications, science
Tagged Anderson Rocha, Bernardo Stein, biomedical ultrasonics, carotid images, Daniel Pazinato, Fábio H. Menezes, gradient-based patterns, GSM, JBHI, medical image processing, Otávio Augusto Bizetto Penatti, Pedro Mendes Júnior, pixel-level tissue classification, Rafael de Oliveira Werneck, Ricardo Torres, virtual histology (VH), Waldir Almeida
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Combining re-ranking and rank aggregation methods for image retrieval
In this paper, entitled “Combining re-ranking and rank aggregation methods for image retrieval”, the authors Daniel Pedronette and Ricardo Torres propose four novel approaches for combining re-ranking and rank aggregation methods aiming at improving the effectiveness of CBIR systems. They … Continue reading
RECOD — Reasoning for Complex Data 