Complex texture features learned by applying randomized neural network on graphs (2022)
- Authors:
- USP affiliated authors: BRUNO, ODEMIR MARTINEZ - IFSC ; ZIELINSKI, KALLIL MIGUEL CAPARROZ - IFSC ; RIBAS, LUCAS CORREIA - IFSC ; SCABINI, LEONARDO FELIPE DOS SANTOS - IFSC
- Unidade: IFSC
- DOI: 10.1109/IPTA54936.2022.9784123
- Subjects: REDES COMPLEXAS; IMAGEM DIGITAL (ANÁLISE); RECONHECIMENTO DE IMAGEM; RECONHECIMENTO DE PADRÕES; TEXTURA (ANÁLISE); INTELIGÊNCIA ARTIFICIAL
- Keywords: Complex Networks; Computer Vision; Feature Extraction; Texture Analysis; Pattern Recognition
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Institute of Electrical and Electronic Engineers - IEEE
- Publisher place: Piscataway
- Date published: 2022
- Source:
- Título do periódico: Proceedings
- Conference titles: International Conference on Image Processing Theory, Tools and Applications - IPTA
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ZIELINSKI, Kallil M. C. et al. Complex texture features learned by applying randomized neural network on graphs. 2022, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2022. Disponível em: https://doi.org/10.1109/IPTA54936.2022.9784123. Acesso em: 19 abr. 2024. -
APA
Zielinski, K. M. C., Ribas, L. C., Scabini, L., & Bruno, O. M. (2022). Complex texture features learned by applying randomized neural network on graphs. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IPTA54936.2022.9784123 -
NLM
Zielinski KMC, Ribas LC, Scabini L, Bruno OM. Complex texture features learned by applying randomized neural network on graphs [Internet]. Proceedings. 2022 ;[citado 2024 abr. 19 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784123 -
Vancouver
Zielinski KMC, Ribas LC, Scabini L, Bruno OM. Complex texture features learned by applying randomized neural network on graphs [Internet]. Proceedings. 2022 ;[citado 2024 abr. 19 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784123 - RADAM: texture recognition through randomized aggregated encoding of deep activation maps
- Aprendizado de características texturais complexas com redes neurais randomizadas em grafos
- Deep topological embedding with convolutional neural networks for complex network classification
- Fusion of complex networks and randomized neural networks for texture analysis
- Spatio-spectral networks for color-texture analysis
- A complex network approach for fish species recognition based on otolith shape
- Evaluating deep convolutional neural networks as texture feature extractors
- Cellular automata rule characterization and classification using texture descriptors
- IFSC/USP desenvolve “RADAM”: IA para padrões complexos - Primeira no mundo: Uma IA que treina outra IA. [Depoimento à Rui Sintra]
- Structure and functioning of neural networks: the complex network properties of artificial neurons
Informações sobre o DOI: 10.1109/IPTA54936.2022.9784123 (Fonte: oaDOI API)
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