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» A sampling theory for compact sets in Euclidean space
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ICIP
2000
IEEE
14 years 9 months ago
POCS-Based Image Reconstruction from Irregularly-Spaced Samples
This paper presents a method for the reconstruction of a regularlysampled image from its irregularly-spaced samples. Such reconstruction is often needed in image processing and co...
Ryszard Stasinski, Janusz Konrad
ECSQARU
2007
Springer
14 years 1 months ago
Shared Ordered Binary Decision Diagrams for Dempster-Shafer Theory
The binary representation is widely used for representing focal sets of Dempster-Shafer belief functions because it allows to compute efficiently all relevant operations. However, ...
Norbert Lehmann
COLT
2008
Springer
13 years 9 months ago
Injective Hilbert Space Embeddings of 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...
ADCM
2008
136views more  ADCM 2008»
13 years 7 months ago
Learning and approximation by Gaussians on Riemannian manifolds
Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
Gui-Bo Ye, Ding-Xuan Zhou
IPMI
2005
Springer
14 years 8 months ago
Representing Diffusion MRI in 5D for Segmentation of White Matter Tracts with a Level Set Method
We present a method for segmenting white matter tracts from high angular resolution diffusion MR images by representing the data in a 5 dimensional space of position and orientatio...
Lisa Jonasson, Patric Hagmann, Xavier Bresson, Jea...