150 search results - page 1 / 30 » The Minimum Description Length Principle in Coding and Model... |
TIT
1998
13 years 4 months ago
1998
—We review the principles of Minimum Description Length and Stochastic Complexity as used in data compression and statistical modeling. Stochastic complexity is formulated as the...
JMLR
2011
12 years 11 months ago
2011
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
Active shape models are a powerful and widely used tool to interpret complex image data. By building models of shape variation they enable search algorithms to use a priori knowle...
IVC
2008
13 years 4 months ago
2008
Groupwise non-rigid registration aims to find a dense correspondence across a set of images, so that analogous structures in the images are aligned. For purely automatic inter-sub...