199 search results - page 9 / 40 » Accuracy of distance metric learning algorithms |
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
In this paper we analyze the most popular evaluation metrics for separate-and-conquer rule learning algorithms. Our results show that all commonly used heuristics, including accur...
CVPR
2009
IEEE
13 years 6 months ago
2009
IEEE
The IMage Euclidean Distance (IMED) is a class of image metrics, in which the spatial relationship between pixels is taken into consideration. It was shown that calculating the IM...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...
SDM
2009
SIAM
14 years 5 months ago
2009
SIAM
The requirements of real-world data mining problems vary extensively. It is plausible to assume that some of these requirements can be expressed as application-specific performan...
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...