@InProceedings{BrandoliElePauMinESB:2010:ViDaEx,
author = "Brandoli, Bruno and Eler, Danilo Medeiros and Paulovich, Fernando
and Minghim, Rosane and ESB Neto, Jo{\~a}o do",
affiliation = "{ICMC - University of S{\~a}o Paulo} and {ICMC - University of
S{\~a}o Paulo} and {ICMC - University of S{\~a}o Paulo} and
{ICMC - University of S{\~a}o Paulo} and {ICMC - University of
S{\~a}o Paulo}",
title = "Visual Data Exploration to Feature Space Definition",
booktitle = "Proceedings...",
year = "2010",
editor = "Bellon, Olga and Esperan{\c{c}}a, Claudio",
organization = "Conference on Graphics, Patterns and Images, 23. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "isual Feature Space Analysis, Feature Space Visualization, Feature
Space Evaluation, Visual Exploration.",
abstract = "ABSTRACT: Many image-related applications rely on the fact that
the dataset under investigation is correctly represented through
features. However, defining a set of features that properly
represents a dataset is still a challenging and, in most cases, an
exhausting task. Most of the available techniques, especially when
a large number of features is considered, are based on purely
quantitative statistical measures or approaches based on
artificial intelligence, and normally are {"}black-boxes{"} to the
user. The approach proposed here seeks to open this
{"}black-box{"} by means of visual representations, enabling users
to get insight about the meaning and representativeness of the
features computed from different feature extraction algorithms and
sets of parameters. The results show that, as the combination of
sets of features and changes in parameters improves the quality of
the visual representation, the accuracy of the classification
using the defined set of features also improves. The results
strongly suggest that our approach can be successfully employed as
a guidance to defining and understanding a set of features that
properly represents an image dataset.",
conference-location = "Gramado, RS, Brazil",
conference-year = "30 Aug.-3 Sep. 2010",
doi = "10.1109/SIBGRAPI.2010.13",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2010.13",
language = "en",
ibi = "8JMKD3MGPBW34M/38699DS",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/38699DS",
targetfile = "70614_2.pdf",
urlaccessdate = "2024, May 03"
}