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CVPR
2010
IEEE
14 years 6 months ago
Optimizing One-Shot Recognition with Micro-Set Learning
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
Kevin Tang, Marshall Tappen, Rahul Sukthankar, Chr...
LPNMR
2007
Springer
14 years 4 months ago
GrinGo : A New Grounder for Answer Set Programming
We describe a new grounder system for logic programs under answer set semantics, called GrinGo. Our approach combines and extends techniques from the two primary grounding approach...
Martin Gebser, Torsten Schaub, Sven Thiele
CCA
2009
Springer
14 years 3 months ago
From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs under Interv
Interval computations estimate the uncertainty of the result of data processing in situations in which we only know the upper bounds ∆ on the measurement errors. In this case, ba...
Vladik Kreinovich
JAR
2006
94views more  JAR 2006»
13 years 10 months ago
Answer Set Programming Based on Propositional Satisfiability
Answer Set Programming (ASP) emerged in the late 1990s as a new logic programming paradigm which has been successfully applied in various application domains. Also motivated by the...
Enrico Giunchiglia, Yuliya Lierler, Marco Maratea
JBI
2011
233views Bioinformatics» more  JBI 2011»
13 years 5 months ago
A set of ontologies to drive tools for the control of vector-borne diseases
We are developing a set of ontologies that deal with vector-borne diseases and the arthropod vectors that transmit them. For practical reasons (application priorities), we initiat...
Pantelis Topalis, Emmanuel Dialynas, Elvira Mitrak...