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» Learning in FOL with a Similarity Measure
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KDD
2004
ACM
113views Data Mining» more  KDD 2004»
16 years 1 months ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
ICML
1998
IEEE
16 years 2 months ago
An Information-Theoretic Definition of Similarity
Similarity is an important and widely used concept. Previous definitions of similarity are tied to a particular application or a form of knowledge representation. We present an in...
Dekang Lin
COLING
2008
15 years 2 months ago
Rank Distance as a Stylistic Similarity
In this paper we propose a new distance function (rank distance) designed to reflect stylistic similarity between texts. To assess the ability of this distance measure to capture ...
Marius Popescu, Liviu Petrisor Dinu
CVPR
2009
IEEE
16 years 8 months ago
Shape Classification Through Structured Learning of Matching Measures
Many traditional methods for shape classification involve establishing point correspondences between shapes to produce matching scores, which are in turn used as similarity meas...
Longbin Chen, Julian John McAuley, Rogério ...