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» Measuring Similarity between Sets of Overlapping Clusters
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CVPR
2007
IEEE
16 years 7 months ago
Learning Visual Similarity Measures for Comparing Never Seen Objects
In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...
Eric Nowak, Frédéric Jurie
JSS
2000
97views more  JSS 2000»
15 years 5 months ago
Exploring the relationships between design measures and software quality in object-oriented systems
The first goal of this paper is to empirically explore the relationships between existing object-oriented coupling, cohesion, and inheritance measures and the probability of fault...
Lionel C. Briand, Jürgen Wüst, John W. D...
BMCBI
2006
164views more  BMCBI 2006»
15 years 5 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
ICML
2005
IEEE
16 years 6 months ago
Supervised clustering with support vector machines
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
Thomas Finley, Thorsten Joachims
UAI
2001
15 years 7 months ago
Similarity Measures on Preference Structures, Part II: Utility Functions
In previous work [8] we presented a casebased approach to eliciting and reasoning with preferences. A key issue in this approach is the definition of similarity between user prefe...
Vu A. Ha, Peter Haddawy, John Miyamoto