1477 search results - page 53 / 296 » On Graph Problems in a Semi-streaming Model |
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
ECCV
2006
Springer
15 years 11 months ago
2006
Springer
Algorithms for discrete energy minimization play a fundamental role for low-level vision. Known techniques include graph cuts, belief propagation (BP) and recently introduced tree-...
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SIGMOD
2007
ACM
15 years 10 months ago
2007
ACM
Graphs are prevalently used to model the relationships between objects in various domains. With the increasing usage of graph databases, it has become more and more demanding to e...
DAC
2009
ACM
15 years 1 months ago
2009
ACM
The Synchronous Dataflow (SDF) model of computation is popular for modelling the timing behaviour of real-time embedded hardware and software systems and applications. It is an es...
ESA
2005
Springer
15 years 3 months ago
2005
Springer
Sensor nodes are very weak computers that get distributed at random on a surface. Once deployed, they must wake up and form a radio network. Sensor network bootstrapping research t...