Deep manifold alignment for mid-grain sketch based image retrieval (2019)
- Authors:
- Autor USP: PONTI, MOACIR ANTONELLI - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-030-20893-6_20
- Subjects: RECONHECIMENTO DE IMAGEM; ALGORITMOS PARA IMAGENS; RECUPERAÇÃO DA INFORMAÇÃO
- Keywords: SBIR; Manifold alignment; Visual search
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 11363, p. 314-329, 2019
- Conference titles: Asian Conference on Computer Vision - ACCV
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BUI, Tu et al. Deep manifold alignment for mid-grain sketch based image retrieval. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-20893-6_20. Acesso em: 29 mar. 2024. , 2019 -
APA
Bui, T., Ribeiro, L., Ponti, M. A., & Collomosse, J. (2019). Deep manifold alignment for mid-grain sketch based image retrieval. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-20893-6_20 -
NLM
Bui T, Ribeiro L, Ponti MA, Collomosse J. Deep manifold alignment for mid-grain sketch based image retrieval [Internet]. Lecture Notes in Computer Science. 2019 ; 11363 314-329.[citado 2024 mar. 29 ] Available from: https://doi.org/10.1007/978-3-030-20893-6_20 -
Vancouver
Bui T, Ribeiro L, Ponti MA, Collomosse J. Deep manifold alignment for mid-grain sketch based image retrieval [Internet]. Lecture Notes in Computer Science. 2019 ; 11363 314-329.[citado 2024 mar. 29 ] Available from: https://doi.org/10.1007/978-3-030-20893-6_20 - Does background intensity estimation influence the iterative restoration of microscope images?
- Combining classifiers: from the creation of ensembles to the decision fusion
- Three-dimensional noisy image restoration using filtered extrapolation and deconvolution
- Partially supervised anomaly detection using convex hulls on a 2D parameter space
- 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
- 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
- Fall detection and fall risk assessment in older person using wearable sensors: a systematic review
Informações sobre o DOI: 10.1007/978-3-030-20893-6_20 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas