Similarity Query
Mostrando 1-12 de 60 artigos, teses e dissertações.
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1. Pandan (Pandanus sp), Rotan (Calamus sp), and Rengas (Gluta sp) from Kajuik Lake, Riau Province, Indonesia
ABSTRACT Pandan (Pandanus sp), Rotan (Calamus sp), and Rengas (Gluta sp) are the three most important plants growing at Kajuik Lake, Langgam, Riau Province, Indonesia; however, their species names have not been identified. This study aimed to identify their species names using nuclear internal transcribed spacer (ITS) and psbA-trnH intergenic spacer sequence
Braz. arch. biol. technol.. Publicado em: 06/08/2018
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2. Inducible cellulase production from an organic solvent tolerant Bacillus sp. SV1 and evolutionary divergence of endoglucanase in different species of the genus Bacillus
Abstract Bacteria are important sources of cellulases with various industrial and biotechnological applications. In view of this, a non-hemolytic bacterial strain, tolerant to various environmental pollutants (heavy metals and organic solvents), showing high cellulolytic index (7.89) was isolated from cattle shed soil and identified as Bacillus sp. SV1 (99.2
Braz. J. Microbiol.. Publicado em: 2018-06
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3. Optimizing similarity queries in metric spaces meeting user\ s expectation / Otimização de operações de busca por similaridade em espaços métricos
The complexity of data stored in large databases has increased at very fast paces. Hence, operations more elaborated than traditional queries are essential in order to extract all required information from the database. Therefore, the interest of the database community in similarity search has increased significantly. Two of the well-known types of similarit
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 22/10/2012
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4. Soluções aproximadas para algoritmos escaláveis de mineração de dados em domínios de dados complexos usando GPGPU / On approximate solutions to scalable data mining algorithms for complex data problems using GPGPU
The increasing availability of data in diverse domains has created a necessity to develop techniques and methods to discover knowledge from huge volumes of complex data, motivating many research works in databases, data mining and information retrieval communities. Recent studies have suggested that searching in complex data is an interesting research field
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 22/09/2011
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5. Istar : um esquema estrela otimizado para Image Data Warehouses baseado em similaridade
A data warehousing environment supports the decision-making process through the investigation and analysis of data in an organized and agile way. However, the current data warehousing technologies do not allow that the decision-making processe be carried out based on images pictorial (intrinsic) features. This analysis can not be carried out in a conventiona
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 26/08/2011
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6. Seleção de características por meio de algoritmos genéticos para aprimoramento de rankings e de modelos de classificação / Feature selection by genetic algorithms to improve ranking and classification models
Content-based image retrieval (CBIR) and classification systems rely on feature vectors extracted from images considering specific visual criteria. It is common that the size of a feature vector is of the order of hundreds of elements. When the size (dimensionality) of the feature vector is increased, a higher degree of redundancy and irrelevancy can be obse
Publicado em: 2011
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7. Análise de similaridade entre sequências dos genes do HIV-1 e o Genoma Humano / Analysis of similarity between the sequences of genes of HIV-1 and Human Genome
Os genes virais podem ter origens celulares ou não. Eles podem ter sido reunidos durante a evolução, sendo que cada um pode corresponder a uma origem distinta. A similaridade entre sequências genéticas sugerem homologia e, portanto, um parentesco evolutivo. O presente estudo tem como objetivo identificar regiões de similaridade, com suporte estatístic
Publicado em: 2010
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8. Answering exact reverse k-nerarest neighbors queries in metric space / Operação de busca exata aos K-vizinhos mais próximos reversos em espaços métricos
A complexidade dos dados armazenados em grandes bases de dados aumenta cada vez mais, criando a necessidade de novas operações de consulta. Uma classe de operações que tem apresentado interesse crescente são as chamadas Consultas por Similaridade, sendo as mais conhecidas as consultas por Abrangência (R IND. q) e por k-Vizinhos mais Proximos (kNN), sen
Publicado em: 2010
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9. Ontology-based clustering in a Peer Data Management System
Peer Data Management Systems (PDMS) are advanced P2P applications which enable users to transparently query several distributed, heterogeneous, and autonomous data sources. Each peer represents a data source and exports its entire data schema or only a portion of it. Such schema, named exported schema, represents the data to be shared with the other peers of
Publicado em: 2009
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10. Recuperação de imagens por conteúdo: uma abordagem multidimensional de modelagem de similaridade e realimentação de relevância
This work presents a multi-dimensional similarity modeling strategy and relevance feedback technique for minimizing the semantic gap intrinsic problem of CBIR systems by allowing users to customize their queries according to their requirements and preferences. We propose a composite strategy using a multi-dimensional, vectorial, spatially clustered, and rele
Publicado em: 2009
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11. Uma proposta de construção de índice invertido para recuperação de imagens baseada em conteúdo
This work shows an approach to construct an inverted index for Content-Based Image Retrieval. The objective is to speed up the process of querying without loss of quality in the result. To evaluate the effectiveness of the proposal, two systems for retrieval of images were developed. The first system was used as a basis for comparison. It uses techniques for
Publicado em: 2009
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12. Reducing the semantic gap content-based image retrieval with similarity queries / Adequando consultas por similaridade para reduzir a descontinuidade semântica na recuperação de imagens por conteúdo
The increasing number of images captured in digital media fostered the developmet of new methods for the recovery of these images. Dissimilarity is a criteria that can be used for image retrieval, where the results are images that are similar to a given reference. The queries are based on feature vectors automatically extracted from the images and on distanc
Publicado em: 2009