Kernel approximations for W-operator learning (2017)
- Authors:
- USP affiliated authors: HIRATA, NINA SUMIKO TOMITA - IME ; HIRATA JUNIOR, ROBERTO - IME
- Unidade: IME
- DOI: 10.1109/SIBGRAPI.2016.060
- Subjects: APRENDIZADO COMPUTACIONAL; PROCESSAMENTO DE IMAGENS; RECONHECIMENTO DE PADRÕES
- Keywords: Kernel approximation; W-operator learning
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2017
- Source:
- Título do periódico: Proceedings
- Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MONTAGNER, Igor dos Santos et al. Kernel approximations for W-operator learning. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/SIBGRAPI.2016.060. Acesso em: 23 abr. 2024. -
APA
Montagner, I. dos S., Hirata, N. S. T., Hirata Júnior, R., & Canu, S. (2017). Kernel approximations for W-operator learning. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI.2016.060 -
NLM
Montagner I dos S, Hirata NST, Hirata Júnior R, Canu S. Kernel approximations for W-operator learning [Internet]. Proceedings. 2017 ;[citado 2024 abr. 23 ] Available from: https://doi.org/10.1109/SIBGRAPI.2016.060 -
Vancouver
Montagner I dos S, Hirata NST, Hirata Júnior R, Canu S. Kernel approximations for W-operator learning [Internet]. Proceedings. 2017 ;[citado 2024 abr. 23 ] Available from: https://doi.org/10.1109/SIBGRAPI.2016.060 - Comics image processing: learning to segment text
- Staff removal using image operator learning
- Two-stage binary image operator design: an approach based on interaction information
- An information theory framework for two-stage binary image operator design
- A machine learning based method for staff removal
- Learning to remove staff lines from music score images
- NILC: a two level learning algorithm with operator selection
- Image operator learning and applications
- Image operator learning based on local features
- Basis computation algorithms
Informações sobre o DOI: 10.1109/SIBGRAPI.2016.060 (Fonte: oaDOI API)
Download do texto completo
Tipo | Nome | Link | |
---|---|---|---|
2850493.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas