40 search results - page 7 / 8 » A Fast Dual Method for HIK SVM Learning |
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
ICIC
2005
Springer
13 years 11 months ago
2005
Springer
Rather than the difficulties of highly non-linear and non-Gaussian observation process and the state distribution in single target tracking, the presence of a large, varying number...
GIS
2008
ACM
14 years 6 months ago
2008
ACM
This paper presents an automatic algorithm which reconstructs building models from airborne LiDAR (light detection and ranging) data of urban areas. While our algorithm inherits t...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
SIGIR
2011
ACM
12 years 8 months ago
2011
ACM
We study a novel problem of social context summarization for Web documents. Traditional summarization research has focused on extracting informative sentences from standard docume...