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» Invariances in kernel methods: From samples to objects
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ECML
2001
Springer
14 years 1 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciļ...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
VISUALIZATION
1996
IEEE
14 years 1 months ago
Fast Perspective Volume Rendering with Splatting by Utilizing a Ray-Driven Approach
Volume ray casting is based on sampling the data along sight rays. In this technique, reconstruction is achieved by a convolution, which collects the contribution of multiple voxe...
Klaus Mueller, Roni Yagel
CVPR
2009
IEEE
15 years 4 months ago
Echocardiogram View Classification using Edge Filtered Scale-invariant Motion Features
In an 2D echocardiogram exam, an ultrasound probe samples the heart with 2D slices. Changing the orientation and position on the probe changes the slice viewpoint, altering the ...
Ritwik Kumar, Fei Wang, David Beymer, Tanveer Fath...
VISUALIZATION
2005
IEEE
14 years 2 months ago
Scale-Invariant Volume Rendering
As standard volume rendering is based on an integral in physical space (or ā€œcoordinate spaceā€), it is inherently dependent on the scaling of this space. Although this dependen...
Martin Kraus
ADCM
2007
84views more  ADCM 2007»
13 years 9 months ago
A non-linear circle-preserving subdivision scheme
We describe a new method for constructing a sequence of reļ¬ned polygons, which starts with a sequence of points and associated normals. The newly generated points are sampled fr...
Pavel Chalmovianský, Bert Jüttler