Buscar
Mostrando ítems 1-10 de 6994
Learning to Classify Seismic Images with Deep Optimum-Path Forest
(Ieee, 2016-01-01)
Due to the lack of labeled information, clustering techniques have been paramount in the last years once more. In this paper, inspired by the deep learning phenomenon, we presented a multi-scale approach to obtain more ...
Representation Learning for Image Retrieval through 3D CNN and Manifold Ranking
(2021-01-01)
Despite of the substantial success of Convolutional Neural Networks (CNNs) on many recognition and representation tasks, such models are very reliant on huge amount of data to allow effective training. In order to improve ...
Subjective aspects in the thematic representation of photographic images
(Universidade Federal de Minas GeraisBrasilECI - DEPARTAMENTO DE ORGANIZAÇÃO E TRATAMENTO DA INFORMAÇÃOUFMG, 2018)
Rotation-invariant and scale-invariant steerable pyramid decomposition for texture image retrieval
(Scopus, 2007)
This paper proposes a new rotation-invariant and scale-invariant representation for texture image retrieval based on Steerable Pyramid Decomposition. By calculating the mean and standard deviation of decomposed image ...
Multimodal indexing based on semantic cohesion for image retrieval
(Springer Science + Business Media, 2012)
Methods of imagetic information representation
(PONTIFICIA UNIVERSIDADE CATOLICA CAMPINAS, 2009)
The aim of this paper is to highlight some of the methods of imagetic information representation, reviewing the literature of the area and proposing a model of methodology adapted to Brazilian museums. An elaboration of a ...
Progressive randomization: Seeing the unseen
(Academic Press Inc Elsevier ScienceSan DiegoEUA, 2010)
Learning to classify seismic images with deep optimum-path forest
(2017-01-10)
Due to the lack of labeled information, clustering techniques have been paramount in the last years once more. In this paper, inspired by the deep learning phenomenon, we presented a multi-scale approach to obtain more ...