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» A New Study on Distance Metrics as Similarity Measurement
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JMLR
2012
11 years 10 months ago
Distance Metric Learning with Eigenvalue Optimization
The main theme of this paper is to develop a novel eigenvalue optimization framework for learning a Mahalanobis metric. Within this context, we introduce a novel metric learning a...
Yiming Ying, Peng Li
IVC
2007
176views more  IVC 2007»
13 years 7 months ago
Kernel-based distance metric learning for content-based image retrieval
ct 8 For a specific set of features chosen for representing images, the performance of a content-based image retrieval (CBIR) system 9 depends critically on the similarity or diss...
Hong Chang, Dit-Yan Yeung
ICIAR
2005
Springer
14 years 1 months ago
Shape Similarity Measurement for Boundary Based Features
In this study, we propose two algorithms for measuring the distance between shape boundaries. In the algorithms, shape boundary is represented by the Beam Angle Statistics (BAS), w...
Nafiz Arica, Fatos T. Yarman-Vural
IAT
2009
IEEE
13 years 11 months ago
Confusion and Distance Metrics as Performance Criteria for Hierarchical Classification Spaces
When intelligent systems reason about complex problems with a large hierarchical classification space it is hard to evaluate system performance. For classification problems, differ...
Wilbert van Norden, Catholijn M. Jonker
SOFSEM
2007
Springer
14 years 1 months ago
Spatial Selection of Sparse Pivots for Similarity Search in Metric Spaces
Similarity search is a fundamental operation for applications that deal with unstructured data sources. In this paper we propose a new pivot-based method for similarity search, ca...
Oscar Pedreira, Nieves R. Brisaboa