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CVPR
2010
IEEE
15 years 6 months ago
Data Fusion through Cross-modality Metric Learning using Similarity-Sensitive Hashing
Visual understanding is often based on measuring similarity between observations. Learning similarities specific to a certain perception task from a set of examples has been show...
Michael Bronstein, Alexander Bronstein, Nikos Para...
SSPR
2004
Springer
15 years 3 months ago
On Extending Symmetry Sets for 2D Shapes
Many attempts have been made to represent families of 2D shapes in a simpler way. These approaches lead to so-called structures as the Symmetry Set (SS) and a subset of it, the Med...
Arjan Kuijper, Ole Fogh Olsen
MCS
2002
Springer
14 years 9 months ago
A Discussion on the Classifier Projection Space for Classifier Combining
In classifier combining, one tries to fuse the information that is given by a set of base classifiers. In such a process, one of the difficulties is how to deal with the variabilit...
Elzbieta Pekalska, Robert P. W. Duin, Marina Skuri...
CIKM
2005
Springer
15 years 3 months ago
Opportunity map: a visualization framework for fast identification of actionable knowledge
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...
BMCBI
2007
136views more  BMCBI 2007»
14 years 10 months ago
Genomorama: genome visualization and analysis
Background: The ability to visualize genomic features and design experimental assays that can target specific regions of a genome is essential for modern biology. To assist in the...
Jason D. Gans, Murray Wolinsky