Combining classifiers: from the creation of ensembles to the decision fusion (2011)
- Autor:
- Autor USP: PONTI JUNIOR, MOACIR PEREIRA - ICMC
- Unidade: ICMC
- DOI: 10.1109/SIBGRAPI-T.2011.9
- Subjects: COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS; INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: IEEE Computer Society
- Publisher place: Los Alamitos
- Date published: 2011
- ISBN: 9780769545493
- Source:
- Título: Proceedings
- Conference titles: Conference on Graphics, Patterns, and Images Tutorials - SIBGRAPI-T
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
PONTI, Moacir Antonelli. Combining classifiers: from the creation of ensembles to the decision fusion. 2011, Anais.. Los Alamitos: IEEE Computer Society, 2011. Disponível em: https://doi.org/10.1109/SIBGRAPI-T.2011.9. Acesso em: 27 dez. 2025. -
APA
Ponti, M. A. (2011). Combining classifiers: from the creation of ensembles to the decision fusion. In Proceedings. Los Alamitos: IEEE Computer Society. doi:10.1109/SIBGRAPI-T.2011.9 -
NLM
Ponti MA. Combining classifiers: from the creation of ensembles to the decision fusion [Internet]. Proceedings. 2011 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1109/SIBGRAPI-T.2011.9 -
Vancouver
Ponti MA. Combining classifiers: from the creation of ensembles to the decision fusion [Internet]. Proceedings. 2011 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1109/SIBGRAPI-T.2011.9 - One-class to multi-class model update using the class-incremental optimum-path forest classifier
- Extração de atributos visuais compactos para reconhecimento de padrões visuais em dispositivos móveis
- Deep convolutional neural networks and noisy images
- Three-dimensional noisy image restoration using filtered extrapolation and deconvolution
- Partially supervised anomaly detection using convex hulls on a 2D parameter space
- Does background intensity estimation influence the iterative restoration of microscope images?
- Robust feature spaces from pre-trained deep network layers for skin lesion classification
- Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections
- Better than counting seconds: identifying fallers among healthy elderly using fusion of accelerometer features and dual-task timed up and go
- Unsupervised representation learning using convolutional and stacked auto-encoders: a domain and cross-domain feature space analysis
Informações sobre o DOI: 10.1109/SIBGRAPI-T.2011.9 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
