101 search results - page 11 / 21 » Fisher Discrimination Dictionary Learning for Sparse Represe... |
103
Voted
CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
In this paper, we propose a bilevel sparse coding model for coupled feature spaces, where we aim to learn dictionaries for sparse modeling in both spaces while enforcing some desi...
MVA
2007
15 years 1 months ago
2007
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations of non-negative data . Inherently, it is unsupervis...
105
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ICIP
2010
IEEE
14 years 9 months ago
2010
IEEE
An image representation framework based on structured sparse model selection is introduced in this work. The corresponding modeling dictionary is comprised of a family of learned ...
ISBI
2008
IEEE
16 years 11 days ago
2008
IEEE
In limited data tomography, with applications such as electron microscopy and medical imaging, the scanning views are within an angular range that is often both limited and sparse...
98
Voted
EMMCVPR
2011
Springer
13 years 11 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...