31 resultados para Naval aviation
Filtro por publicador
- Aberystwyth University Repository - Reino Unido (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (4)
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- Aston University Research Archive (10)
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- Boston University Digital Common (31)
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- Digitale Sammlungen - Goethe-Universität Frankfurt am Main (20)
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- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (2)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (3)
- Greenwich Academic Literature Archive - UK (8)
- Harvard University (2)
- Helda - Digital Repository of University of Helsinki (4)
- Indian Institute of Science - Bangalore - Índia (9)
- Massachusetts Institute of Technology (2)
- Memoria Académica - FaHCE, UNLP - Argentina (19)
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- Ohio University (3)
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- Repositório Digital da Universidade Municipal de São Caetano do Sul - USCS (2)
- Repositório Institucional da Universidade de Brasília (1)
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- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (3)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (4)
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- Universidad del Rosario, Colombia (2)
- Universidad Politécnica de Madrid (11)
- Universidade Complutense de Madrid (1)
- Universidade de Madeira (1)
- Universidade Federal do Pará (1)
- Universidade Técnica de Lisboa (1)
- Université de Lausanne, Switzerland (1)
- University of Michigan (487)
- University of Queensland eSpace - Australia (3)
- WestminsterResearch - UK (1)
Resumo:
An improved method for deformable shape-based image indexing and retrieval is described. A pre-computed index tree is used to improve the speed of our previously reported on-line model fitting method; simple shape features are used as keys in a pre-generated index tree of model instances. In addition, a coarse to fine indexing scheme is used at different levels of the tree to further improve speed while maintaining matching accuracy. Experimental results show that the speedup is significant, while accuracy of shape-based indexing is maintained. A method for shape population-based retrieval is also described. The method allows query formulation based on the population distributions of shapes in each image. Results of population-based image queries for a database of blood cell micrographs are shown.