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Image segmentation by hierarchical layered oriented image foresting transform subject to closeness constraints
Image segmentation by hierarchical layered oriented image foresting transform subject to closeness constraints
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Artigo de Congresso 		Adicionar ao Meu Espaço

Image segmentation by hierarchical layered oriented image foresting transform subject to closeness constraints

Luiz Felipe Dolabela Santos Felipe Augusto de Souza Kleine; Paulo André Vechiatto de Miranda; International Conference on Discrete Geometry and Mathematical Morphology - DGMM (24 Cham : Springer Florence, Italy)

Lecture Notes in Computer Science Cham v. 14605, p. 338-349, 2024

Cham Springer 2024

Localização: IME - Inst. Matemática e Estatística    (PROD-3191974 )(Acessar)

2
Differential maximum euclidean distance transform computation in component trees
Differential maximum euclidean distance transform computation in component trees
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Differential maximum euclidean distance transform computation in component trees

Dennis J. Silva Paulo André Vechiatto de Miranda; Wonder Alexandre Luz Alves; Ronaldo Fumio Hashimoto; Jiří Kosinka; Jos B. T. M Roerdink; International Conference on Discrete Geometry and Mathematical Morphology - DGMM (24 Cham : Springer Florence, Italy)

Lecture Notes in Computer Science Cham : Springer v. 14605, p. 67-79, 2024

Cham Springer 2024

Localização: IME - Inst. Matemática e Estatística    (PROD-3191674 )(Acessar)

3
The lattice overparametrization paradigm for the machine learning of lattice operators
The lattice overparametrization paradigm for the machine learning of lattice operators
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The lattice overparametrization paradigm for the machine learning of lattice operators

Diego Marcondes Junior Barrera; International Conference on Discrete Geometry and Mathematical Morphology - DGMM (3. 2024 Florence, Italy)

Proceedings Cham : Springer, 2024

Cham Springer 2024

Localização: IME - Inst. Matemática e Estatística    (PROD-3198037 )(Acessar)

4
An algorithm to train unrestricted sequential discrete morphological neural networks
An algorithm to train unrestricted sequential discrete morphological neural networks
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An algorithm to train unrestricted sequential discrete morphological neural networks

Diego Marcondes Mariana de Sousa Feldman; Junior Barrera; International Conference on Discrete Geometry and Mathematical Morphology - DGMM (3. 2024 Florence, Italy)

Proceedings Cham : Springer, 2024

Cham Springer 2024

Localização: IME - Inst. Matemática e Estatística    (PROD-3198010 )(Acessar)

5
An end-to-end deep learning approach for video captioning through mobile devices
An end-to-end deep learning approach for video captioning through mobile devices
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An end-to-end deep learning approach for video captioning through mobile devices

Rafael Jeferson Pezzuto Damaceno Roberto Marcondes César Júnior; Iberoamerican Congress on Pattern Recognition - CIARP (26. 2023 Coimbra, Portugal)

Proceedings Cham : Springer, 2024

Cham Springer 2024

Localização: IME - Inst. Matemática e Estatística    (PROD-3174072 )(Acessar)

6
Source code plagiarism in computer science courses facts and impressions
Source code plagiarism in computer science courses facts and impressions
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Artigo de Congresso 		Adicionar ao Meu Espaço

Source code plagiarism in computer science courses facts and impressions

Bruna Bazaluk Flávio Soares Corrêa da Silva; Maristela Holanda; Dilma de Melo Silva; Congresso da Sociedade Brasileira de Computação - CSBC (43. 2023 João Pessoa); Workshop sobre Educação em Computação - WEI (31. 2023 João Pessoa)

Anais Porto Alegre : SBC, 2023

Porto Alegre SBC 2023

Localização: IME - Inst. Matemática e Estatística    (PROD-3159473 )(Acessar)

7
Visualizing high-dimensional functions with dense maps
Visualizing high-dimensional functions with dense maps
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Visualizing high-dimensional functions with dense maps

Mateus Espadoto Francisco Caio Maia Rodrigues; Nina Sumiko Tomita Hirata; Alexandru Cristian Telea

SN Computer Science Singapore v. 4, artigo n. 230, p. 1, 2023

Singapore 2023

Localização: IME - Inst. Matemática e Estatística    (PROD-3129361 )(Acessar)

8
Complexity and approximability of minimum path-collection exact covers
Complexity and approximability of minimum path-collection exact covers
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Complexity and approximability of minimum path-collection exact covers

Santiago Valdés Ravelo Cristina Gomes Fernandes 1966-

Theoretical Computer Science Amsterdam v. 942, p. 21-32, 2023

Amsterdam 2023

Localização: IME - Inst. Matemática e Estatística    (PROD-3128774 )(Acessar)

9
This volume contains the papers presented at LAGOS 2023, the XII Latin-American Algorithms, Graphs and Optimization Symposium. [Prefácio]
This volume contains the papers presented at LAGOS 2023, the XII Latin-American Algorithms, Graphs and Optimization Symposium. [Prefácio]
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Artigo 		Adicionar ao Meu Espaço

This volume contains the papers presented at LAGOS 2023, the XII Latin-American Algorithms, Graphs and Optimization Symposium. [Prefácio]

Cristina Gomes Fernandes 1966- Sergio Rajsbaum; Latin and American Algorithms, Graphs and Optimization Symposium - LAGOS (12. 2023 Huatulco, Mexico)

Procedia Computer Science Amsterdam v. 223, p. 1-4, 2023

Amsterdam 2023

Localização: IME - Inst. Matemática e Estatística    (PROD-3165984 )(Acessar)

10
A canonical Ramsey theorem with list constraints in random graphs
A canonical Ramsey theorem with list constraints in random graphs
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A canonical Ramsey theorem with list constraints in random graphs

José Diego Alvarado Morales Yoshiharu Kohayakawa; Patrick Morris; Guilherme Oliveira Mota; Latin-American Algorithms, Graphs and Optimization Symposium - LAGOS (12. 2023 Huatulco, Mexico)

Procedia Computer Science Amsterdam v. 223, p. 13-19, 2023

Amsterdam 2023

Localização: IME - Inst. Matemática e Estatística    (PROD-3165969 )(Acessar)

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