3607 search results - page 149 / 722 » Learning with structured sparsity |
153
Voted
IPL
2008
15 years 2 months ago
2008
Bayesian Network structures with a maximum in-degree of k can be approximated with respect to a positive scoring metric up to an factor of 1/k. Key words: approximation algorithm,...
96
Voted
ICALT
2007
IEEE
15 years 9 months ago
2007
IEEE
Recognizing geographical concepts such as ridges, valleys, and contour lines is an important issue in geography learning. We provide a system for automatic recognition of such con...
115
Voted
ECML
1998
Springer
15 years 6 months ago
1998
Springer
We present compelling evidence that the World Wide Web is a domain in which applications can benefit from using first-order learning methods, since the graph structure inherent in ...
107
Voted
TIP
2011
14 years 9 months ago
2011
Abstract—We have developed a new face hallucination framework termed from local pixel structure to global image super-resolution (LPS-GIS). Based on the assumption that two simil...
160
Voted
SDM
2011
SIAM
14 years 5 months ago
2011
SIAM
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...