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1
Learning a complex network representation for shape classification
Learning a complex network representation for shape classification
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Learning a complex network representation for shape classification

Lucas Correia Ribas Odemir Martinez Bruno

Pattern Recognition Amsterdam v. 154, p. 110566-1-110566-10 + supplementary data, Oct. 2024

Amsterdam 2024

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2
Texture analysis using graphs generated by deterministic partially self-avoiding walks
Texture analysis using graphs generated by deterministic partially self-avoiding walks
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Texture analysis using graphs generated by deterministic partially self-avoiding walks

André Ricardo Backes Alexandre Souto Martinez; Odemir Martinez Bruno

Pattern Recognition Oxford : Pergamon v. 44, n. 8, p. 1684-1689, Aug. 2011

Oxford 2011

Available at FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 2172427 estantes deslizantes ) and other locations(GetIt)

3
Texture analysis using graphs generated by deterministic partially self-avoiding walks
Texture analysis using graphs generated by deterministic partially self-avoiding walks
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Texture analysis using graphs generated by deterministic partially self-avoiding walks

André Ricardo Backes Alexandre Souto Martinez; Odemir Martinez Bruno

Pattern Recognition Oxford : Pergamon v. 44, n. 8, p. 1684-1689, Aug. 2011

Oxford 2011

Available at FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 2172427 estantes deslizantes ) and other locations(GetIt)

4
Texture analysis and classification using deterministic tourist walk
Texture analysis and classification using deterministic tourist walk
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Texture analysis and classification using deterministic tourist walk

André Ricardo Backes Wesley Nunes Gonçalves; Alexandre Souto Martinez; Odemir Martinez Bruno

Pattern Recognition Oxford : Pergamon v. 43, n. 3, p. 685-694, Mar. 2010

Oxford 2010

Available at FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 1800374 estantes deslizantes ) and other locations(GetIt)

5
A network classification method based on density time evolution patterns extracted from network automata
A network classification method based on density time evolution patterns extracted from network automata
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A network classification method based on density time evolution patterns extracted from network automata

Kallil Miguel Caparroz Zielinski Lucas Correia Ribas; Jeaneth Machicao; Odemir Martinez Bruno

Pattern Recognition Amsterdam v. 146, p. 109802-1-109802-13 + supplementary materials, Feb. 2024

Amsterdam 2024

Available at IFSC - Inst. Física de São Carlos    (PROD035121 )(GetIt)

6
Texture analysis and classification using deterministic tourist walk
Texture analysis and classification using deterministic tourist walk
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Texture analysis and classification using deterministic tourist walk

André Ricardo Backes Wesley Nunes Gonçalves; Alexandre Souto Martinez; Odemir Martinez Bruno

Pattern Recognition Oxford : Pergamon v. 43, n. 3, p. 685-694, Mar. 2010

Oxford 2010

Available at FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 1800374 estantes deslizantes ) and other locations(GetIt)

7
Fusion of complex networks and randomized neural networks for texture analysis
Fusion of complex networks and randomized neural networks for texture analysis
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Fusion of complex networks and randomized neural networks for texture analysis

Lucas Correia Ribas Jarbas Joaci de Mesquita Sá Júnior; Leonardo Felipe dos Santos Scabini; Odemir Martinez Bruno

Pattern Recognition Oxford : Elsevier v. 103, p. 107189-1-107189-10, July 2020

Oxford 2020

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-2991926 ) and other locations(GetIt)

8
RADAM texture recognition through randomized aggregated encoding of deep activation maps
RADAM texture recognition through randomized aggregated encoding of deep activation maps
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RADAM texture recognition through randomized aggregated encoding of deep activation maps

Leonardo Felipe dos Santos Scabini Kallil Miguel Caparroz Zielinski; Lucas Correia Ribas; Wesley Nunes Gonçalves; Bernard De Baets; Odemir Martinez Bruno

Pattern Recognition Oxford v. 143, p. 109802-1-109802-13 + supplementary materials, Nov. 2023

Oxford 2023

Available at IFSC - Inst. Física de São Carlos    (PROD034686 )(GetIt)

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