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Tree-based convolutional neural networks for object classification in segmented satellite images
Satellite images have a very high resolution, which make their automatic processing computationally costly, and they suffer from artifacts making their processing difficult. This paper describes a method for the effective ...
Magnetic Resonance Imaging In Neuropsychiatric Systemic Lupus Erythematosus: Current State Of The Art And Novel Approaches
(Sage Publications LTDLondon, 2017)
A Robust Restricted Boltzmann Machine for Binary Image Denoising
(Ieee, 2017-01-01)
During the image acquisition process, some level of noise is usually added to the real data mainly due to physical limitations of the acquisition sensor, and also regarding imprecisions during the data transmission and ...
Rank diffusion for context-based image retrieval
(2016-06-06)
This paper presents an efficient diffusion-based re-ranking approach. The proposed method propagates contextual information defined in terms of top-ranked objects of ranked lists in a diffusion process. That makes the ...
Graph-based selective rank fusion for unsupervised image retrieval
(2020-07-01)
Nowadays, there is a great variety of visual features available for image retrieval tasks. While fusion strategies have been established as a promising alternative, an inherent difficulty in unsupervised scenarios is the ...
Identificador de placa veicular: alternativa para segurança em escolas
(Universidade Tecnológica Federal do ParanáCuritibaDepartamento Acadêmico de Informática, 2014-09-17)
This work was developed with the purpose of strengthening surveillance and increase the safety of students in schools, which is a constant concern for managers of private and public institutions. In recent years, this ...
Organizational culture, identity and image. A case study conducted in an Argentinian public university
(Universidad Nacional de Misiones. Facultad de Ciencias Económicas. Programa de Posgrado en Administración, 2017-09-07)
The study and understanding of organizational culture assumes a central role for university management, as it becomes a strong conditioning factor during decision-making at all levels. By providing members with a socially ...
Quantifying the complexity of black-and-white images
(Public Library of Science, 2018-11)
We propose a complexity measure for black-and-white (B/W) digital images, based on the detection of typical length scales in the depicted motifs. Complexity is associated with diversity in those length scales. In this ...