158 search results - page 7 / 32 » Community Learning by Graph Approximation |
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
ILP
2003
Springer
14 years 24 days ago
2003
Springer
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
The k-NN graph has played a central role in increasingly popular data-driven techniques for various learning and vision tasks; yet, finding an efficient and effective way to con...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
How closely related are two nodes in a graph? How to compute this score quickly, on huge, disk-resident, real graphs? Random walk with restart (RWR) provides a good relevance scor...
LION
2009
Springer
14 years 2 months ago
2009
Springer
Graph partitioning is a well-known optimization problem of great interest in theoretical and applied studies. Since the 1990s, many multilevel schemes have been introduced as a pra...