Detecting overlapping structures via network-based competitive learning (2012)
- Authors:
- Autor USP: LIANG, ZHAO - ICMC
- Unidade: ICMC
- DOI: 10.1109/IJCNN.2012.6252787
- Subjects: COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS; INTELIGÊNCIA ARTIFICIAL; SISTEMAS DINÂMICOS
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2012
- ISBN: 9781467314909
- Source:
- Título: Proceedings
- Conference titles: IEEE World Congress on Computational Intelligence - WCCI
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SILVA, Thiago C e LIANG, Zhao. Detecting overlapping structures via network-based competitive learning. 2012, Anais.. Piscataway: IEEE, 2012. Disponível em: https://doi.org/10.1109/IJCNN.2012.6252787. Acesso em: 25 jan. 2026. -
APA
Silva, T. C., & Liang, Z. (2012). Detecting overlapping structures via network-based competitive learning. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2012.6252787 -
NLM
Silva TC, Liang Z. Detecting overlapping structures via network-based competitive learning [Internet]. Proceedings. 2012 ;[citado 2026 jan. 25 ] Available from: https://doi.org/10.1109/IJCNN.2012.6252787 -
Vancouver
Silva TC, Liang Z. Detecting overlapping structures via network-based competitive learning [Internet]. Proceedings. 2012 ;[citado 2026 jan. 25 ] Available from: https://doi.org/10.1109/IJCNN.2012.6252787 - Fractal color image compression
- Network-based stochastic semisupervised learning
- Imputation of missing data supported by complete p-partite attribute-based decision graphs
- K-associated optimal network for graph embedding dimensionality reduction
- Chaotic synchronization for scene segmentation
- Musical scales recognition via deterministic walk in a graph
- Phase-noise-induced resonance in arrays of coupled excitable neural models
- Uncovering overlapping structures via stochastic competitive learning
- Selecting nodes with inhomogeneous centrality profile for labeling for network-based semi-supervised learning
- A scheme for high level data classification using random walk and network measures
Informações sobre o DOI: 10.1109/IJCNN.2012.6252787 (Fonte: oaDOI API)
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