699 search results - page 5 / 140 » Generalized Distance Functions in the Theory of Computation |
ESWA
2008
13 years 9 months ago
2008
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
ICCV
2009
IEEE
13 years 7 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
This paper introduces a new method for shape registration by matching vector distance functions. The vector distance function representation is more flexible than the conventional...
SISAP
2010
IEEE
13 years 7 months ago
2010
IEEE
Determining similarities among multimedia objects is a fundamental task in many content-based retrieval, analysis, mining, and exploration applications. Among state-of-the-art sim...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
A relationship between generalization error and training samples in kernel regressors is discussed in this paper. The generalization error can be decomposed into two components. On...