Artur Jordão Lima Correia

Aluno de doutorado

Artur possui graduação em Ciência da Computação pela Universidade do Oeste Paulista (2010-2013) e mestrado em Ciência da Computação pela Universidade Federal de Minas Gerais (2014-2016). Atualmente é aluno de doutorado na Universidade Federal de Minas Gerais. Atuou como pesquisador bolsista na Fundação de Desenvolvimento da Pesquisa em parceria com a SAMSUNG. Suas áreas de interesse incluem reconhecimento de padrões visuais, partial least squares e machine learning.

Dissertação

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Publicações

11 entradas « 1 de 2 »

Jordao, Artur; Kloss, Ricardo; Yamada, Fernando; Schwartz, William Robson

Pruning Deep Networks using Partial Least Squares Inproceedings

British Machine Vision Conference (BMVC) Workshops, pp. 1-9, 2019.

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Kloss, Ricardo Barbosa; Jordao, Artur; Schwartz, William Robson

Face Verification Strategies for Employing Deep Models Inproceedings

13th IEEE International Conference on Automatic Face & Gesture Recognition, pp. 258-262, 2018.

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Jordao, Artur; Junior, Antonio Carlos Nazare; Sena, Jessica; Schwartz, William Robson

Human Activity Recognition based on Wearable Sensor Data: A Benchmark Journal Article

arXiv, pp. 1-12, 2018.

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Jordao, Artur; Kloss, Ricardo Barbosa; Schwartz, William Robson

Latent hypernet: Exploring all Layers from Convolutional Neural Networks Inproceedings

IEEE International Joint Conference on Neural Networks (IJCNN), pp. 1-7, 2018.

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Jordao, Artur; Torres, Leonardo Antônio Borges; Schwartz, William Robson

Novel Approaches to Human Activity Recognition based on Accelerometer Data Journal Article

12 (7), pp. 1387–1394, 2018.

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Kloss, Ricardo Barbosa; Jordao, Artur; Schwartz, William Robson

Boosted Projection An Ensemble of Transformation Models Inproceedings

22nd Iberoamerican Congress on Pattern Recognition (CIARP), pp. 331-338, 2018.

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Jordao, Artur; Kloss, Ricardo; Yamada, Fernando; Schwartz, William Robson

Pruning Deep Neural Networks using Partial Least Squares Journal Article

ArXiv e-prints, 2018.

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Jordao, Artur; Sena, Jessica; Schwartz, William Robson

A Late Fusion Approach to Combine Multiple Pedestrian Detectors Inproceedings

IAPR International Conference on Pattern Recognition (ICPR), pp. 1-6, 2016.

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Jordao, Artur; Schwartz, William Robson

Oblique Random Forest based on Partial Least Squares Applied to Pedestrian Detection Inproceedings

IEEE International Conference on Image Processing (ICIP), pp. 2931-2935, 2016.

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Jordao, Artur

The Good, the Fast and the Better Pedestrian Detector Masters Thesis

Federal University of Minas Gerais, 2016.

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11 entradas « 1 de 2 »