1830 search results - page 68 / 366 » Workshop on Graph Computation Models |
132
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CONCUR
2004
Springer
15 years 9 months ago
2004
Springer
We propose a framework where behavioural properties of finite-state systems modelled as graph transformation systems can be expressed and verified. The technique is based on the ...
130
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
154
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MM
2010
ACM
15 years 4 months ago
2010
ACM
The major scientific problem for content-based video retrieval is the semantic gap. Generally speaking, there are two appropriate ways to bridge the semantic gap: the first one is...
118
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SIGIR
2006
ACM
15 years 10 months ago
2006
ACM
We present an approach to improving the precision of an initial document ranking wherein we utilize cluster information within a graph-based framework. The main idea is to perform...
162
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NIPS
2004
15 years 5 months ago
2004
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...