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ICCV
2005
IEEE
14 years 8 months ago
Building a Classification Cascade for Visual Identification from One Example
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
ECML
2003
Springer
13 years 12 months ago
Pairwise Preference Learning and Ranking
We consider supervised learning of a ranking function, which is a mapping from instances to total orders over a set of labels (options). The training information consists of exampl...
Johannes Fürnkranz, Eyke Hüllermeier
BMCBI
2006
163views more  BMCBI 2006»
13 years 6 months ago
Ensemble attribute profile clustering: discovering and characterizing groups of genes with similar patterns of biological featur
Background: Ensemble attribute profile clustering is a novel, text-based strategy for analyzing a userdefined list of genes and/or proteins. The strategy exploits annotation data ...
J. R. Semeiks, A. Rizki, Mina J. Bissell, I. Saira...
BMCBI
2008
98views more  BMCBI 2008»
13 years 6 months ago
MTAP: The Motif Tool Assessment Platform
Background: In recent years, substantial effort has been applied to de novo regulatory motif discovery. At this time, more than 150 software tools exist to detect regulatory bindi...
Daniel Quest, Kathryn Dempsey, Mohammad Shafiullah...
FLAIRS
2007
13 years 9 months ago
A Generic Memory Module for Events
Intelligent systems need to store their experience so that it can be reused. A memory for such systems needs to efficiently organize and search previous experience and to retriev...
Dan Tecuci, Bruce W. Porter