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Optimizing optimum-path forest classification for huge datasets
(2010-11-18)
Traditional pattern recognition techniques can not handle the classification of large datasets with both efficiency and effectiveness. In this context, the Optimum-Path Forest (OPF) classifier was recently introduced, ...
Coordinated multiple views to support image retrieval
(University of Paris DescartesInformation Visualisation Society - IVSParis, 2014-07)
The number of images available has grown over the years, as well as the number of techniques to aid to organizing and retrieving from image collections. Techniques and systems have been proposed to recover images based on ...
Coordinated multiple views to support image retrieval
(2014-01-01)
The number of images available has grown over the years, as well as the number of techniques to aid to organizing and retrieving from image collections. Techniques and systems have been proposed to recover images based on ...
Evaluation of sar to optical image translation using conditional generative adversarial network for cloud removal in a crop dataset
(2021-06-28)
Most methods developed to map crop fields with high-quality are based on optical image time-series. However, often accuracy of these approaches is deteriorated due to clouds and cloud shadows, which can decrease the availably ...
Efficient sign language recognition system and dataset creation method based on deep learning and image processing
(2021-01-01)
New deep-learning architectures are created every year, achieving state-of-the-art results in image recognition and leading to the belief that, in a few years, complex tasks such as sign language translation will be ...
Is it possible to make pixel-based radar image classification user-friendly?
(2011-11-16)
In this paper we would like to shed light the problem of efficiency and effectiveness of image classification in large datasets. As the amount of data to be processed and further classified has increased in the last years, ...
Image Re-Ranking Acceleration on GPUs
(Ieee, 2013-01-01)
Huge image collections are becoming available lately. In this scenario, the use of Content-Based Image Retrieval (CBIR) systems has emerged as a promising approach to support image searches. The objective of CBIR systems ...
Unsupervised manifold learning by correlation graph and strongly connected components for image retrieval
(2014-01-28)
This paper presents a novel manifold learning approach that takes into account the intrinsic dataset geometry. The dataset structure is modeled in terms of a Correlation Graph and analyzed using Strongly Connected Components ...
UNSUPERVISED MANIFOLD LEARNING BY CORRELATION GRAPH AND STRONGLY CONNECTED COMPONENTS FOR IMAGE RETRIEVAL
(Ieee, 2014-01-01)
This paper presents a novel manifold learning approach that takes into account the intrinsic dataset geometry. The dataset structure is modeled in terms of a Correlation Graph and analyzed using Strongly Connected Components ...
MFS-Map: efficient context and content combination to annotate images
(Association for Computing Machinery - ACMDongguk UniversityGyeongju, 2014-03)
Automatic image annotation provides textual description to images based on content and context information. Since images may present large variability, image annotation methods often employ multiple extractors to represent ...