1421 search results - page 151 / 285 » Resampling methods for input modeling |
113
Voted
TIP
2010
15 years 2 months ago
2010
Abstract—This correspondence presents an image compression approach that integrates our proposed parameter-assistant inpainting (PAI) to exploit visual redundancy in color images...
185
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
Scarcity and infeasibility of human supervision for large
scale multi-class classification problems necessitates active
learning. Unfortunately, existing active learning methods
...
144
Voted
ICIAR
2010
Springer
15 years 7 months ago
2010
Springer
Accurate and precise estimation of the noise variance is often of key importance as an input parameter for posterior image processing tasks. In MR images, background data is well s...
197
Voted
TVCG
2008
15 years 3 months ago
2008
A curve skeleton is a compact representation of 3D objects and has numerous applications. It can be used to describe an object's geometry and topology. In this paper, we intro...
166
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ESANN
2007
15 years 5 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...