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IJCNN
2006
IEEE
15 years 9 months ago
A Comparison between Recursive Neural Networks and Graph Neural Networks
— 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...
Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sa...
ICA
2004
Springer
15 years 9 months ago
Blind Deconvolution of SISO Systems with Binary Source Based on Recursive Channel Shortening
We treat the problem of Blind Deconvolution of Single Input - Single Output (SISO) systems with real or complex binary sources. We explicate the basic mathematical idea by focusing...
Konstantinos I. Diamantaras, Theophilos Papadimitr...
146
Voted
ADC
2003
Springer
94views Database» more  ADC 2003»
15 years 9 months ago
Multi-resolution Algorithms for Building Spatial Histograms
Selectivity estimation of queries not only provides useful information to the query processing optimization but also may give users a preview of processing results. In this paper,...
Qing Liu, Yidong Yuan, Xuemin Lin
153
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INFOCOM
1999
IEEE
15 years 8 months ago
The Window Distribution of Idealized TCP Congestion Avoidance with Variable Packet Loss
Abstract--This paper analyzes the stationary behavior of the TCP congestion window performing ideal congestion avoidance when the packet loss probability is not constant, but varie...
Archan Misra, Teunis J. Ott
135
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ASPDAC
2007
ACM
132views Hardware» more  ASPDAC 2007»
15 years 7 months ago
Fast Decoupling Capacitor Budgeting for Power/Ground Network Using Random Walk Approach
- This paper proposes a fast and practical decoupling capacitor (decap) budgeting algorithm to optimize the power ground (P/G) network design. The new method adopts a modified rand...
Le Kang, Yici Cai, Yi Zou, Jin Shi, Xianlong Hong,...