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» Learning the Relative Importance of Features in Image Data
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SIBGRAPI
2006
IEEE
15 years 10 months ago
Exploratory visualization based on multidimensional transfer functions and star coordinates
Exploration and analysis of multivariate data play an important role in different domains. This work proposes a simple interface prototype that allows a human user to visually expl...
Alex Laier Bordignon, Rener Castro, Hélio L...
BMCBI
2006
139views more  BMCBI 2006»
15 years 4 months ago
DNA Molecule Classification Using Feature Primitives
Background: We present a novel strategy for classification of DNA molecules using measurements from an alpha-Hemolysin channel detector. The proposed approach provides excellent c...
Raja Tanveer Iqbal, Matthew Landry, Stephen Winter...
TIP
2008
261views more  TIP 2008»
15 years 3 months ago
CTex - An Adaptive Unsupervised Segmentation Algorithm Based on Color-Texture Coherence
Abstract--This paper presents the development of an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in ...
Dana Elena Ilea, Paul F. Whelan
ICCBR
1997
Springer
15 years 8 months ago
Examining Locally Varying Weights for Nearest Neighbor Algorithms
Previous work on feature weighting for case-based learning algorithms has tended to use either global weights or weights that vary over extremely local regions of the case space. T...
Nicholas Howe, Claire Cardie
PERCOM
2006
ACM
16 years 3 months ago
Seamless Browsing of Visual Contents in Shared Learning Environments
This paper presents a new interaction technique for browsing large visual information bases in a collaborative environment. The ATELIER project deals with learning environments fo...
Marco Loregian, Kresimir Matkovic, Thomas Psik