34 search results - page 3 / 7 » Learning Data Representations with Sparse Coding Neural Gas |
CORR
2012
Springer
12 years 1 months ago
2012
Springer
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
ICASSP
2010
IEEE
13 years 6 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...
ICDAR
2009
IEEE
14 years 15 days ago
2009
IEEE
A new isolated handwritten Farsi numeral recognition algorithm is proposed in this paper, which exploits the sparse and over-complete structure from the handwritten Farsi numeral ...
CVPR
2011
IEEE
13 years 1 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...