Musical scales recognition via deterministic walk in a graph (2016)
- Authors:
- Autor USP: LIANG, ZHAO - FFCLRP
- Unidade: FFCLRP
- DOI: 10.1109/bracis.2016.037
- Subjects: ESCALA MUSICAL; ALGORITMOS; HARMONIA; GRÁFICOS; CODIFICAÇÃO
- Keywords: MUSICAL KNOWLEDGE EXTRACTION; GRAPHS; MUSICAL SCALES; CODIFICATION; DETERMINISTIC WALKS
- Language: Inglês
- Imprenta:
- Source:
- Título: Annals
- Conference titles: Brazilian Conference on Intelligent Systems (BRACIS)
- Este artigo NÃO possui versão em acesso aberto
-
Status: Nenhuma versão em acesso aberto identificada -
ABNT
SALAZAR, Andrés Eduardo Coca e LIANG, Zhao. Musical scales recognition via deterministic walk in a graph. 2016, Anais.. Recife: IEEE, 2016. Disponível em: https://doi.org/10.1109/bracis.2016.037. Acesso em: 13 mar. 2026. -
APA
Salazar, A. E. C., & Liang, Z. (2016). Musical scales recognition via deterministic walk in a graph. In Annals. Recife: IEEE. doi:10.1109/bracis.2016.037 -
NLM
Salazar AEC, Liang Z. Musical scales recognition via deterministic walk in a graph [Internet]. Annals. 2016 ;[citado 2026 mar. 13 ] Available from: https://doi.org/10.1109/bracis.2016.037 -
Vancouver
Salazar AEC, Liang Z. Musical scales recognition via deterministic walk in a graph [Internet]. Annals. 2016 ;[citado 2026 mar. 13 ] Available from: https://doi.org/10.1109/bracis.2016.037 - Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data
- Computer-aided music composition with LSTM neural network and chaotic inspiration
- Semi-supervised learning by edge domination in complex networks
- Dimensionality reduction with the k-associated optimal graph applied to image classification
- Bias-guided random walk for network-based data classification
- A review and comparative analysis of coarsening algorithms on bipartite networks
- Semi-supervised learning from imperfect data through particle cooperation and competition
- Chaotic phase synchronization and desynchronization in an oscillator network for object selection
- Random walk in feature-sample networks for semi-supervised classification
- Classificação de alto nível baseada em entropia da rede
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas