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JMLR
2010
118views more  JMLR 2010»
11 years 8 months ago
Hilbert Space Embeddings and Metrics on Probability Measures
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing, and independence testing....
Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fu...
JAT
2006
64views more  JAT 2006»
12 years 1 months ago
A strongly convergent reflection method for finding the projection onto the intersection of two closed convex sets in a Hilbert
A new iterative method for finding the projection onto the intersection of two closed convex sets in a Hilbert space is presented. It is a Haugazeau-like modification of a recentl...
Heinz H. Bauschke, Patrick L. Combettes, D. Russel...
ADCM
2006
74views more  ADCM 2006»
12 years 1 months ago
Linearly constrained reconstruction of functions by kernels with applications to machine learning
This paper investigates the approximation of multivariate functions from data via linear combinations of translates of a positive definite kernel from a reproducing kernel Hilbert...
Robert Schaback, J. Werner
AUTOMATICA
2008
83views more  AUTOMATICA 2008»
12 years 1 months ago
Periodic smoothing splines
Periodic smoothing splines appear for example as generators of closed, planar curves, and in this paper they are constructed using a controlled two point boundary value problem in...
Hiroyuki Kano, Magnus Egerstedt, Hiroyuki Fujioka,...
APPROX
2010
Springer
138views Algorithms» more  APPROX 2010»
12 years 2 months ago
The Euclidean Distortion of Flat Tori
We show that for every n-dimensional lattice L the torus Rn /L can be embedded with distortion O(n
Ishay Haviv, Oded Regev
NIPS
2001
12 years 3 months ago
The Method of Quantum Clustering
We propose a novel clustering method that is an extension of ideas inherent to scale-space clustering and support-vector clustering. Like the latter, it associates every data poin...
David Horn, Assaf Gottlieb
IMAGING
2001
12 years 3 months ago
A Geometric Foundation of Colorimetry
The physical properties of color are usually described by their spectra, eigenvector expansions or low-dimensional descriptors such as RGB or CIE-Lab. In the first part of the pap...
Reiner Lenz
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