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An unsupervised genetic algorithm framework for rank selection and fusion on image retrieval
(2019-06-05)
Despite the major advances on feature development for low and mid-level representations, a single visual feature is often insufficient to achieve effective retrieval results in different scenarios. Since diverse visual ...
A denoising convolutional neural network for self-supervised rank effectiveness estimation on image retrieval
(2021-08-24)
Image and multimedia retrieval has established as a prominent task in an increasingly digital and visual world. Mainly supported by decades of development on hand-crafted features and the success of deep learning techniques, ...
Unsupervised Effectiveness Estimation Through Intersection of Ranking References
(2019-01-01)
Estimating the effectiveness of retrieval systems in unsupervised scenarios consists in a task of crucial relevance. By exploiting estimations which dot not require supervision, the retrieval results of many applications ...
Image Denoising using Attention-Residual Convolutional Neural Networks
(Ieee, 2020-01-01)
During the image acquisition process, noise is usually added to the data mainly due to physical limitations of the acquisition sensor, and also regarding imprecisions during the data transmission and manipulation. In that ...
Color and texture influence on computer-aided diagnosis of dermatological ulcers
(Institute of Electrical and Electronics Engineers – IEEEUniversidade de São Paulo - USPSão Carlos e Ribeirão Preto, 2015-06)
This study presents an analysis of classification techniques for Computer-Aided Diagnosis (CAD) regarding ulcerated lesions. We focus on determining influence of both color and texture in the automated image classification ...
Applying texture-spectrum features for lung-CAD purposes
(Fundação Getulio Vargas - FGVEscola de Matemática Aplicada - EMApRio de Janeiro, 2014-08)
In this paper we propose using Texture Spectrum (T-Spec) as the feature extractor method component for Computer-Aided Diagnosis systems, particularly regarding medical lung images. We claim that employing T-Spec for this ...
A 2D Deep Boltzmann Machine for Robust and Fast Vehicle Classification
(2017-11-03)
The visual and automatic classification of vehicles plays an important role in the Transport Area. Besides of security issues, the monitoring of the type of traffic in streets and highways, as well the traffic dynamics ...