144 search results - page 18 / 29 » Sparsity in time-frequency representations |
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
NIPS
2007
14 years 11 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
This paper analyzes the performance of the simple thresholding algorithm for sparse signal representations. In particular, in order to be more realistic we introduce a new probabi...
COLING
2010
14 years 4 months ago
2010
We present an approach to model hidden attributes in the compositional semantics of adjective-noun phrases in a distributional model. For the representation of adjective meanings,...
CVPR
2011
IEEE
14 years 1 months ago
2011
IEEE
This work attempts to considerably reduce the amount of user effort in the natural image matting problem. The key observation is that the nonlocal principle, introduced to denoise...