454 search results - page 83 / 91 » Set Theoretic Compression with an Application to Image Codin... |
SAIG
2000
Springer
13 years 11 months ago
2000
Springer
Extracting information from data, often also called data analysis, is an important scienti c task. Statistical approaches, which use methods from probability theory and numerical a...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
The discrete cosine transform (DCT) is widely used in image/video coding standards. However, since most DCT coefficients will be quantized to zeros, a large number of redundant co...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
IJCV
1998
13 years 7 months ago
1998
A major problem in object recognition is that a novel image of a given object can be different from all previously seen images. Images can vary considerably due to changes in viewi...