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» A theory of learning with similarity functions
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96
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ISMIR
2004
Springer
190views Music» more  ISMIR 2004»
15 years 7 months ago
Disambiguating Music Emotion Using Software Agents
Annotating music poses a cognitive load on listeners and this potentially interferes with the emotions being reported. One solution is to let software agents learn to make the ann...
Dan Yang, WonSook Lee
126
Voted
CIKM
2010
Springer
15 years 7 days ago
Domain-independent entity coreference in RDF graphs
In this paper, we present a novel entity coreference algorithm for Semantic Web instances. The key issues include how to locate context information and how to utilize the context ...
Dezhao Song, Jeff Heflin
134
Voted
CVPR
2008
IEEE
16 years 3 months ago
Semi-supervised SVM batch mode active learning for image retrieval
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R....
MPC
1998
Springer
83views Mathematics» more  MPC 1998»
15 years 5 months ago
Nested Datatypes
A nested datatype, also known as a non-regular datatype, is a parametrised datatype whose declaration involves different instances of the accompanying type parameters. Nested datat...
Richard S. Bird, Lambert G. L. T. Meertens
ENTCS
2006
103views more  ENTCS 2006»
15 years 1 months ago
Static Equivalence is Harder than Knowledge
There are two main ways of defining secrecy of cryptographic protocols. The first version checks if the adversary can learn the value of a secret parameter. In the second version,...
Johannes Borgström