756 search results - page 26 / 152 » Quantization of Sparse Representations |
ICONIP
2007
13 years 9 months ago
2007
In the paper, we present a new approach to multi-way Blind Source Separation (BSS) and corresponding 3D tensor factorization that has many potential applications in neuroscience an...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We address the image denoising problem, where zeromean white and homogeneous Gaussian additive noise should be removed from a given image. The approach taken is based on sparse an...
ICPR
2008
IEEE
14 years 8 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...
PRICAI
2010
Springer
13 years 5 months ago
2010
Springer
Unlike traditional classification tasks, multilabel classification allows a sample to associate with more than one label. This generalization naturally arises the difficulty in cla...