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RT
2001
Springer
14 years 26 days ago
Interleaved Sampling
The known sampling methods can roughly be grouped into regular and irregular sampling. While regular sampling can be realized efficiently in graphics hardware, it is prone to inte...
Alexander Keller, Wolfgang Heidrich
COLT
2001
Springer
14 years 28 days ago
Smooth Boosting and Learning with Malicious Noise
We describe a new boosting algorithm which generates only smooth distributions which do not assign too much weight to any single example. We show that this new boosting algorithm ...
Rocco A. Servedio
ICIP
2005
IEEE
14 years 10 months ago
Noise in imaging chains: correlations and predictions
Noise is an important factor in image quality. We analyze it in images produced by digital cameras. We show that, beyond the usual standard deviation measurement, spatial correlat...
Jerome Buzzi, Frederic Guichard
TCS
2010
13 years 6 months ago
Active learning in heteroscedastic noise
We consider the problem of actively learning the mean values of distributions associated with a finite number of options. The decision maker can select which option to generate t...
András Antos, Varun Grover, Csaba Szepesv&a...
SIGGRAPH
1989
ACM
14 years 14 days ago
Algorithms for solid noise synthesis
A solid noise is a function that defines a random value at each point in space. Solid noises have immediate and powerful applications in surface texturing, stochastic modeling, a...
J. P. Lewis