1282 search results - page 31 / 257 » Algorithms for Large, Sparse Network Alignment Problems |
109
click to vote
ECML
2007
Springer
15 years 8 months ago
2007
Springer
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
99
Voted
ICRA
2009
IEEE
15 years 9 months ago
2009
IEEE
Abstract— Finite-range sensing and communication are factors in the connectivity of a dynamic mobile robot network. State estimation becomes a difficult problem when communicati...
122
Voted
JMLR
2010
15 years 21 days ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
117
Voted
ICIP
2009
IEEE
15 years 4 hour ago
2009
IEEE
Wavelets provide a sparse representation for piecewise smooth signals in 1-D; however, separable extensions of wavelets to multiple dimensions do not achieve the same level of spa...
124
click to vote
CONEXT
2010
ACM
15 years 8 days ago
2010
ACM
Traditional DSL troubleshooting solutions are reactive, relying mainly on customers to report problems, and tend to be labor-intensive, time consuming, prone to incorrect resoluti...