33 search results - page 1 / 7 » Structured Sparsity with Group-Graph Regularization |
EMNLP
2011
12 years 4 months ago
2011
Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
ICIP
2010
IEEE
2010
IEEE
Restoration of images and 3D data to higher resolution by deconvolution with sparsity regularization
13 years 2 months ago
Image convolution is conventionally approximated by the LTI discrete model. It is well recognized that the higher the sampling rate, the better is the approximation. However somet...
ACL
2011
12 years 8 months ago
2011
We present a method to discover robust and interpretable sociolinguistic associations from raw geotagged text data. Using aggregate demographic statistics about the authors’ geo...
CORR
2011
Springer
12 years 12 months ago
2011
Springer
We consider a class of learning problems regularized by a structured sparsity-inducing norm defined as the sum of 2- or ∞-norms over groups of variables. Whereas much effort ha...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...