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Learning to Classify Seismic Images with Deep Optimum-Path Forest
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The search expression was <conferencen sibgrapi 29>.
127 references found. Search local date and time: 19/04/2024 23:24. |
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AlcantaraPedr:2016:HuAcId Alcantara, M. F. & Pedrini, H. :2016: Human Action Identification in Videos using Descriptor with Autonomous Fragments and Multilevel Prediction
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AlmeidaPedrNico:2016:GePrHy Almeida, M. A.; Pedrino, E. C. & Nicoletti, M. C. :2016: A Genetically Programmable Hybrid Virtual Reconfigurable Architecture for Image Filtering Applications
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CíceroOlivBote:2016:DeLeCo Cícero, F. M.; Oliveira, A. H. & Botelho, G. :2016: Deep Learning and Convolutional Neural Networks in the Aid of the Classification of Melanoma
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Drews-JrNascCamp:2016:CoAuRe Drews-Jr, P. L. J.; Nascimento, E. R. & Campos, M. F. M. :2016: Contributions to the Automatic Restoration of Images from Scenes in Participating Media
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DuartePenaAlme:2016:BaGeVi Duarte, L. A.; Penatti, O. A. B. & Almeida, J. :2016: Bag of Genres for Video Retrieval
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EinloftGhilMans:2016:AuDeTa Einloft, D. C.; Ghilardi, M. C. & Manssour, I. H. :2016: Automatic Detection of Tactile Paving Surfaces in Indoor Environments
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FavarettoDihlMuss:2016:DeCrFe Favaretto, R. M.; Dihl, L. & Musse, S. R. :2016: Detecting crowd features in video sequences
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FernandesJrMatoArag:2016:GeApFa Fernandes Junior, J. A.; Matos, L. N. & Aragão, M. G. S. :2016: Geometrical approaches for facial expression recognition using support vector machines
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FernandezAvilGonc:2016:3DSiEm Fernandez, L. E. O.; Avila, E. V. C. & Goncalves, L. M. G. :2016: 3DRT – Sistema Embarcado para Reconstrução 3D em Tempo Real
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FilisbinoGiraThom:2016:RaEiTh Filisbino, T. A.; Giraldi, G. A. & Thomaz, C. E. :2016: Ranking Eigenfaces Through Adaboost and Perceptron Ensembles
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FilisbinoGiraThom:2016:RaPrCo Filisbino, T. A.; Giraldi, G. A. & Thomaz, C. E. :2016: Ranking Principal Components in Face Spaces Through AdaBoost.M2 Linear Ensemble
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FilisbinoGiraThom:2016:TeFiMu Filisbino, T. A.; Giraldi, G. A. & Thomaz, C. E. :2016: Tensor Fields for Multilinear Image Representation and Statistical Learning Models Applications
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FreitasGoMaSaBoPi:2016:UsCoFi Freitas, U., et al. :2016: Using Color for Fish Species Classification
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Führ:2016:UsCaPe Führ, G. :2016: On the use of calibration for pedestrian detection in on-board vehicular cameras
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GarciaKreuWelf:2016:NoMeDe Garcia, P. M.; Kreutz, D. L. & Welfer, D. :2016: A novel method for detecting the fovea in fundus images of the eye
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GhilardiMans:2016:SuMoNa Ghilardi, M. C. & Manssour, I. H. :2016: Support model for navigation on sidewalks for visually impaired persons
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GonçalvesMenoSchw:2016:ApLiPl Gonçalves, G. R.; Menotti, D. & Schwartz, W. R. :2016: An Approach for License Plate Recognition Based on Temporal Redundancy
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RezendeCastAlme:2016:ApBrSi Rezende, T. M.; Castro, C. L. & Almeida, S. G. M. :2016: An approach for Brazilian Sign Language (BSL) recognition based on facial expression and k-NN classifier
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RibeiroPontBuiColl:2016:ApMuRe Ribeiro, L., et al. :2016: Aprendizado Multi-Instâncias e Redes Convolucionais aplicados a Recuperação de Imagens baseada em Conteúdo e Rascunhos
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RibeiroTeiFerJrNas:2016:CoAsLa Ribeiro, M. H., et al. :2016: Complexity-Aware Assignment of Latent Values in Discriminative Models for Accurate Gesture Recognition
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RivaCampPont:2016:ApInCl Riva, M.; Campos, T. & Ponti, M. :2016: Aprendizado incremental e classe-incremental por meio da atualização de árvores geradoras em florestas de caminhos ótimos
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RiverosGuti:2016:DeAuCo Riveros, E. L. & Gutiérrez, J. C. :2016: Detecção de automóveis em condições de iluminação variadas com uma câmera de videovigilância
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RochaMeneOliv:2016:DeAuMi Rocha, C. S.; Menezes, M. A. G. & Oliveira, F. G. :2016: Detecção Automática de Microcomponentes SMT Ausentes em Placas de Circuito Impresso
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RodriguesBeze:2016:ReVeSe Rodrigues, J. C. & Bezerra, F. N. :2016: Retinal Vessel Segmentation Using Parallel Grayscale Skeletonization Algorithm and Mathematical Morphology
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RodriguesStol:2016:InEdC¹ Rodrigues, E. C. S. & Stolfi, J. :2016: Interactive Editing of C¹-Continuous 2D Spline Deformations using ECLES Method
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RubianesSilvaWuSuar:2016:InViCr Rubianes Silva, J. A. I.; Wu, S.-T. & Suarez Burgos, F. E. :2016: Interactive Visualization of the Cranio-Cerebral Correspondences for 10/20, 10/10 and 10/5 Systems
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SantanaMachSant:2016:CoDeSu Santana, T. M. H. C.; Machado, A. M. C. & dos Santos, J. A. :2016: Contextual Description of Superpixels for Aerial Urban Scenes Classification
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SantosFernBeze:2016:GeReSy Santos, D. G. S.; Fernandes, B. J. T. & Bezerra, B. L. D. :2016: HAGR-D: A Gesture Recognition System based on CIPBR Algorithm
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SantosJrSchw:2016:PaLeSq Santos Junior, C. E. & Schwartz, W. R. :2016: Partial Least Squares for Face Hashing
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SantosMediSilv:2016:AlEvPa Santos, A. M.; Medina, B. F. & Silva, C. G. :2016: Block Reordering: um algoritmo para evidenciar padrão Block em matrizes reordenáveis
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SantosRiedFern:2016:DeSiVi Santos, M. R.; Rieder, R. & Fernandes, J. M. C. :2016: Desenvolvimento de um Sistema de Visão Computacional para Fenotipagem de Alta Precisão
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SegundoNetoGomeGonç:2016:SeNuPo Segundo Neto, V. F.; Gomes, R. B. & Gonçalves, L. M. G. :2016: Segmentação em nuvem de pontos para detecção de superfícies aquáticas
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SohnZHomCBos:2016:AnTéRe Sohn, O.; Z. Homma, R. & C. Bose, R. :2016: Análise de técnicas de reconhecimento de componentes de linhas de transmissão de energia em imagens aéreas
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SousaeSantosPedr:2016:ImHuSk Sousa e Santos, A. C. & Pedrini, H. :2016: Improvements on human skin segmentation in digital images
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