Dissimilarity Functions
Mostrando 1-7 de 7 artigos, teses e dissertações.
-
1. Spider species composition in the tree-shrub strata of riparian forests and its microhabitats in southern Brazil
ABSTRACT The composition of the spider fauna of riparian forests is insufficiently known. These forests, adjacent to both aquatic and terrestrial environments, are recognised as having important ecosystem functions. We compare the composition of spider assemblages of four riparian forests in different drainage basins, along with their microhabitats (edges an
Zoologia (Curitiba). Publicado em: 14/07/2016
-
2. Um estudo sobre o papel de medidas de similaridade em visualização de coleções de documentos / A study on the role of similarity measures in visual text analytics
Information visualization techniques, such as similarity based point placement, are used for generating of visual data representation that evidence some patterns. These techniques are sensitive to data quality, which depends of a very influential preprocessing step. This step involves cleaning the text and in some cases, detecting terms and their weights, as
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 27/09/2012
-
3. 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
-
4. ClassificaÃÃo supervisionada usando dados simbÃlicos de semÃntica modal
The Symbolic Data Analysis (SDA) is a domain in the area of automatic discovery of knowledge that it aims at to develop methods for described data for variables that can assume as value lists of categories, intervals or distributions of probability. These variables allow to take in account the variability and/or uncertainty present in the data. This work pre
Publicado em: 2007
-
5. Dissimilarity fuctions analysis based on dynamic clustering for symbolic data
Symbolic Data Analysis (SDA) is a new domain in the area of knowledge discovery that aims to provide suitable methods for data described through multi-valued variables, where there are sets of categories, intervals, or weight (probability) distributions in the cells of the data tables. These new variables enable representing the variability and uncertainty p
Publicado em: 2005
-
6. Classificador simbÃlico baseado em regiÃes de tipo casca convexa
On the recent advancement from the information sciences technologies, deferent techniques are introduced to synthesize, analyze and extract information knowledge stored in huge databases. The symbolic data analysis (SDA) is a domain in the area of automatic knowledge discovery (KDD), related with multivariate data analysis, pattern recognition, artificial in
Publicado em: 2005
-
7. Characterization of novel reverse transcriptase encoding human endogenous retroviral sequences similar to type A and type B retroviruses: differential transcription in normal human tissues.
The polymerase chain reaction was used to amplify genomic DNA and reverse-transcribed RNA from human lymphocytes, using primers derived from conserved regions within the retroviral reverse transcriptase. Sequencing of 33 cloned amplification products revealed that a variety of sequences with similarity to mouse mammary tumor virus, mouse intracisternal A par