2100 search results - page 231 / 420 » Learning to rank on graphs |
194
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AGTIVE
2007
Springer
16 years 24 days ago
2007
Springer
Abstract. In this short paper we describe the setup and results of a new initiative to compare graph transformation tools, carried out as part of the AGTIVE 2007 symposium on “Ap...
156
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IJCNN
2006
IEEE
16 years 19 days 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...
179
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ICPR
2010
IEEE
15 years 8 months ago
2010
IEEE
In this paper, we propose a novel graph embedding method for the problem of lipreading. To characterize the temporal connections among video frames of the same utterance, a new di...
182
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SIGIR
2010
ACM
15 years 10 months ago
2010
ACM
The collective contributions of billions of users across the globe each day result in an ever-changing web. In verticals like news and real-time search, recency is an obvious sign...
202
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PC
2007
15 years 6 months ago
2007
The Sony–Toshiba–IBM Cell Broadband Engine (Cell/B.E.) is a heterogeneous multicore architecture that consists of a traditional microprocessor (PPE) with eight SIMD co-process...