Afonso, L. C. S., et al. :2017:
Parkinson's Disease Identification Through Deep Optimum-Path Forest Clustering
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The search expression was <conferencen sibgrapi 30>.
115 references found. Search local date and time: 03/07/2025 00:51. |
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AfonsoPerWebHooPap:2017:PaDiId Afonso, L. C. S., et al. :2017: Parkinson's Disease Identification Through Deep Optimum-Path Forest Clustering
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AlmeidaJrGuim:2017:CaStHu Almeida, R.; Jr, Z. K. G. P. & Guimaraes, S. J. F. :2017: A New Pooling Strategy based on Local Feature Distribution: A Case Study for Human Action Classification
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AmaralLimaVieiViei:2017:ReGeEs Amaral, L., et al. :2017: Reconhecimento de gestos estáticos da mão usando a Transformada de Distância e aplicações em Libras
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AndradePaivSilv:2017:AnImTe Andrade, F. J. P.; Paiva, A. C. & Silva, A. C. :2017: Análise de Imagens de Termografia Dinâmica para Classificação de Alterações na Mama Usando Séries Temporais
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AriasRamí:2017:SeAp Arias, J. G. & Ramírez, G. A. :2017: Learning to Cluster with Auxiliary Tasks: A Semi-Supervised Approach
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BaetaNoguMenoSant:2017:LeDeFe Baeta, R., et al. :2017: Learning Deep Features on Multiple Scales for Coffee Crop Recognition
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BalreiraWalt:2017:HaSyPu Balreira, D. G. & Walter, M. :2017: Handwriting Synthesis from Public Fonts
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BarbosaNona:2017:PrSt Barbosa, A. O. & Nonato, L. G. :2017: Visualization, kernels and subspaces: a practical study
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BastosSchw:2017:AsReIm Bastos, I. L. O. & Schwartz, W. R. :2017: Assigning Relative Importance to Scene Elements
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BombonatoCamaSilv:2017:ReSiBr Bombonato, L.; Camara-Chavez, G. & Silva, P. :2017: Real-time single-shot brand logo recognition
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BorsatoMori:2017:BuStLi Borsato, F. H. & Morimoto, C. H. :2017: Building structured lighting applications using low-cost cameras
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BotanCocoKoma:2017:ImImSt Botan, R.; Coco, K. F. & Komati, K. S. :2017: Implementation of an Image Stitching Algorithm to a Low-Cost Digital Microscope
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CarmoAlveOliv:2017:FaIdBa Carmo, D.; Alves, R. & Oliveira, L. :2017: Face identification based on synergism of classifiers in rectified stereo images
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Carvalho:2017:DeLeAp Carvalho, S. R. :2017: A Deep Learning Approach for Classification of Reaching Targets from EEG Images
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CarvalhoFerrBran:2017:CoPoRe Carvalho, G. P.; Ferreira, F. T. & Brandão, A. L. :2017: Comparing pose recognition algorithms and introducing a new approach
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Cassol:2017:FrEsSa Cassol, V. J. :2017: CROWDSIM: A framework to estimate safety of egress performance in real life scenarios
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CastañedaLeonVech:2017:MuSeHi Castañeda Leon, L. M. & Vechiatto de Miranda, P. A. :2017: Multi-Object Segmentation by Hierarchical Layered Oriented Image Foresting Transform
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CastroFeiRosDiaSan:2017:CoAnDe Castro, J. B., et al. :2017: A Comparative Analysis of Deep Learning Techniques for Sub-tropical Crop Types Recognition from Multitemporal Optical/SAR Image Sequences
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CastroSpalRied:2017:PlEmMo Castro, A.; Spalding, L. E. S. & Rieder, R. :2017: Plataforma embarcada para monitoramento da cultura do morangueiro
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CavalinOliv:2017:ReTeCl Cavalin, P. & Oliveira, L. S. :2017: A Review of Texture Classification Methods and Databases
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Condori:2017:ExDiIm Condori, M. A. T. :2017: Extending the Differential Image Foresting Transform to Root-based Path-cost Functions with Application to Superpixel Segmentation
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CosmoInabSall:2017:SiImSu Cosmo, D. L.; Inaba, F. K. & Salles, E. O. T. :2017: Single Image Super-Resolution Using Multiple Extreme Learning Machine Regressors
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CostaDiasRoch:2017:ImViPh Costa, F. O.; Dias, Z. & Rocha, A. :2017: Image and Video Phylogeny Reconstruction
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CruzCaSaPeLeCl:2017:ImAcAu Cruz, R. A. Q., et al. :2017: Improving accuracy of automatic fracture detection in borehole images with deep learning and GPUs
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CruzZampSilvCall:2017:ExSePr Cruz, M. M. C., et al. :2017: An experimental setup and protocol for offline performance assessment of eye/gaze tracking strategies
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DuarteSach:2017:MeCuFl Duarte, M. E. & Sacht, L. :2017: Mean Curvature Flow and Applications
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ElizeuNetoAlme:2017:DeFeDe Elizeu Neto, R. & Almeida, J. :2017: Desenvolvimento de uma Ferramenta para Detecção e Classificação de Padrões em Sequências de Imagens de Fenologia
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FavarettoDihMusVilCos:2017:UsBiFi Favaretto, R. M., et al. :2017: Using Big Five Personality Model to Detect Cultural Aspects in Crowds
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FreitasFari:2017:PeViSe Freitas, P. G. & Farias, M. C. Q. :2017: On the Performance of Visual Semantics for Improving Texture-based Blind Image Quality Assessment
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GattoJúniSant:2017:OrHaSu Gatto, B. B.; Júnior, W. S. S. & Santos, E. M. :2017: Orthogonal Hankel Subspaces for Applications in Gesture Recognition
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Gomes:2017:ExAuMe Gomes, P. R. :2017: Extração automática de medidas em exames de ecocardiograma
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GomesSantVida:2017:InViTr Gomes, G. A. M.; Santos, E. & Vidal, C. A. :2017: Interactive Visualization of Traffic Dynamics Based on Trajectory Data
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Gomez-NietoNona:2017:GeSeLa Gomez-Nieto, E. & Nonato, L. G. :2017: Generation of Semantic Layouts for Interactive Multidimensional Data Visualization
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Julca-AguilarMaiaHira:2017:TeClCo Julca-Aguilar, F. D.; Maia, A. L. L. M. & Hirata, N. S. T. :2017: Text/non-text classification of connected components in document images
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JúniorAfonPalmPapa:2017:BaEsId Júnior, L. A. S., et al. :2017: Barrett’s Esophagus Identification Using Optimum-Path Forest
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LeonardoFari:2017:MiImRe Leonardo, M. M. & Faria, F. A. :2017: Mid-level Image Representation for Fruit Crop Pest Identification
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SantosSantShig:2017:InMéCl Santos, M. D. L.; Sant’Anna, S. J. S. & Shiguemori, E. H. :2017: Integração de métodos de classificação de imagens derivados da Teoria da Informação
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SantosSouzMara:2017:2DDeBo Santos, D. F. S.; Souza, G. B. & Marana, A. N. :2017: A 2D Deep Boltzmann Machine for Robust and Fast Vehicle Classification
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SilvaJung:2017:ReBrLi Silva, S. M. & Jung, C. R. :2017: Real-Time Brazilian License Plate Detection and Recognition Using Deep Convolutional Neural Networks
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ZavarezBerrOliv:2017:CrFaEx Zavarez, M. V.; Berriel, R. F. & Oliveira-Santos, T. :2017: Cross-Database Facial Expression Recognition Based on Fine-Tuned Deep Convolutional Network
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