74 search results - page 12 / 15 » Hilbert Space Embeddings and Metrics on Probability Measures |
94
Voted
CIKM
2008
Springer
14 years 11 months ago
2008
Springer
Random projection (RP) is a common technique for dimensionality reduction under L2 norm for which many significant space embedding results have been demonstrated. However, many si...
APPROX
2009
Springer
15 years 4 months ago
2009
Springer
We show that for every α > 0, there exist n-point metric spaces (X, d) where every “scale” admits a Euclidean embedding with distortion at most α, but the whole space req...
IFL
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. This paper considers the use of dependent types to capture information about dynamic resource usage in a static type system. Dependent types allow us to give (explicit) p...
ECRTS
2007
IEEE
15 years 1 months ago
2007
IEEE
In this paper we study the soft real-time web cluster architecture needed to support e-commerce and related applications. Our testbed is based on an industry standard, which defin...
96
Voted
PAMI
2006
14 years 9 months ago
2006
We provide evidence that non-linear dimensionality reduction, clustering and data set parameterization can be solved within one and the same framework. The main idea is to define ...