Tag Archives: Ricardo Torres

Patent: “Two-tiered method and apparatus for fast and accurate face verification on mobile devices”

Yesterday the BioLive team celebrated their patent request approval by Motorola. This patent, entitled “Two-tiered method and apparatus for fast and accurate face verification on mobile devices”, is an important result of a collaborative research project between RECOD and Motorola. … 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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On Interactive Learning-to-Rank for IR: Overview, Recent Advances, Challenges, and Directions

In this article, the authors deal with the problem of creating interactive information retrieval (IIR) systems nowadays. The work reviews several interactive retrieval related aspects focusing mainly on recent advances, important challenges and promising research directions. The paper shows that, … Continue reading

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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

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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

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TSS & TSB: Tensor scale descriptors within circular sectors for fast shape retrieval

In this paper, entitled “TSS & TSB: Tensor scale descriptors within circular sectors for fast shape retrieval” and published at the Pattern Recognition Letters Journal, the authors propose a novel region-based descriptors for shape-based image retrieval and analysis. They focus … Continue reading

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Phenological visual rhythms: Compact representations for fine-grained plant species identification

The plant species identification is a key issue for the phenological observation of tree crowns using phenocams. In this paper, entitle “Phenological visual rhythms: Compact representations for fine-grained plant species identification” and published at Pattern Recognition Letters, Volume 81, 2016, … Continue reading

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Nearest neighbors distance ratio open-set classifier

We are very glad to announce that our paper entitled “Nearest neighbors distance ratio open-set classifier” has been accepted in the very prestigious Springer Machine Learning journal. In this work, the authors propose a novel multiclass classifier for open-set recognition … Continue reading

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Ph.D. thesis defense: Daniel Moreira

The RECODist Daniel Henriques Moreira has earned his Ph.D. degree with the thesis entitled “Sensitive-Video Analysis” supervised by Prof. Anderson Rocha, from RECOD, and co-supervised by Prof. Siome Goldenstein.   The abstract is: Sensitive video can be defined as any … Continue reading

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