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163
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CF
2006
ACM
15 years 5 months ago
Intermediately executed code is the key to find refactorings that improve temporal data locality
The growing speed gap between memory and processor makes an efficient use of the cache ever more important to reach high performance. One of the most important ways to improve cac...
Kristof Beyls, Erik H. D'Hollander
142
Voted
NN
1998
Springer
108views Neural Networks» more  NN 1998»
15 years 3 months ago
How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies
Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...
Tsungnan Lin, Bill G. Horne, C. Lee Giles
149
Voted
IDA
2009
Springer
15 years 1 months ago
Mining the Temporal Dimension of the Information Propagation
In the last decade, Social Network Analysis has been a field in which the effort devoted from several researchers in the Data Mining area has increased very fast. Among the possibl...
Michele Berlingerio, Michele Coscia, Fosca Giannot...
132
Voted
ICIP
2009
IEEE
16 years 4 months ago
Motion Vector Processing Based On Trajectory Curve Analysis For Motion Compensated Frame Interpolation
In this paper, we propose a novel motion vector processing approach based on the temporal analysis of motion vector reliability for motion-compensated frame interpolation. We firs...
140
Voted
ICNP
1998
IEEE
15 years 8 months ago
QGMA: A New MAC Protocol for Supporting QoS in Wireless Local Area Networks
In this paper, we propose a novel MAC protocol, called Quality-ofservice Guarantee Multiple Access (QGMA), in wireless local area networks to support the quality of service requir...
Yi Ye, Chao-Ju Hou, Ching-Chih Han