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1
Learning image features with fewer labels using a semi-supervised deep convolutional network
Learning image features with fewer labels using a semi-supervised deep convolutional network
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Artigo 		Adicionar ao Meu Espaço

Learning image features with fewer labels using a semi-supervised deep convolutional network

Fernando Pereira dos Santos Cemre Zor; Josef Kittler; Moacir Antonelli Ponti

Neural Networks Kidlington : Pergamon , Elsevier v. 132, p. 131-143, Dec. 2020

Kidlington 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3004610 )(Acessar)

2
Evaluation of transfer learning scenarios in plankton image classification
Evaluation of transfer learning scenarios in plankton image classification
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Artigo de Congresso 		Adicionar ao Meu Espaço

Evaluation of transfer learning scenarios in plankton image classification

Francisco Caio Maia Rodrigues Nina Sumiko Tomita Hirata; Antonio Augusto Abello; Leandro Ticlia de la Cruz; Rubens Mendes Lopes; Roberto Hirata Júnior; International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (13. 2018 Funchal, Madeira)

Proceedings Setúbal : Science and Technology Publications - SCITEPRESS, 2018

Setúbal Science and Technology Publications - SCITEPRESS 2018

Localização: IME - Inst. Matemática e Estatística    (PROD-2879032 )(Acessar)

3
Unsupervised domain adaptation for human activity recognition
Unsupervised domain adaptation for human activity recognition
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Unsupervised domain adaptation for human activity recognition

Paulo Barbosa Kemilly Dearo Garcia; João Mendes Moreira; André Carlos Ponce de Leon Ferreira de Carvalho; International Conference on Intelligent Data Engineering and Automated Learning - IDEAL (19. 2018 Madrid)

Lecture Notes in Computer Science Cham : Springer v. 11314, p. 623-630, 2018

Cham Springer 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2935897 )(Acessar)

4
Analysis of activation maps through global pooling measurements for texture classification
Analysis of activation maps through global pooling measurements for texture classification
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Analysis of activation maps through global pooling measurements for texture classification

Rayner Harold Montes Condori Odemir Martinez Bruno

Information Sciences Philadelphia : Elsevier v. 555, p. 260-279 , May 2021

Philadelphia 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3018533 ) e outros locais(Acessar)

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Deste Autor:

  1. Santos, F
  2. Abello, A
  3. Rodrigues, F
  4. Condori, R
  5. Garcia, K

Neste Assunto:

  1. Aprendizado Computacional
  2. Visão Computacional
  3. Redes Neurais
  4. Mapas
  5. Processamento De Imagens

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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