2295 search results - page 5 / 459 » Learning Overcomplete Representations |
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Sparse representations using overcomplete dictionaries are used in a variety of field such as pattern recognition and compression. However, the size of dictionary is usually a tra...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
In this paper, we present a novel iris recognition method based on learned ordinal features.Firstly, taking full advantages of the properties of iris textures, a new iris represen...
EMMCVPR
2011
Springer
12 years 8 months ago
2011
Springer
The challenge of recovering the topology of massive neuronal circuits can potentially be met by high throughput Electron Microscopy (EM) imagery. Segmenting a 3-dimensional stack o...
CISS
2008
IEEE
13 years 8 months ago
2008
IEEE
Currently, there is no quantitative way to ascertain how an overcomplete signal representation describes a signal and its features using terms drawn from a dictionary. Though spars...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...