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» Two Graph Algorithms On an Associative Computing Model
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164
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CMSB
2006
Springer
15 years 10 months ago
Randomization and Feedback Properties of Directed Graphs Inspired by Gene Networks
Having in mind the large-scale analysis of gene regulatory networks, we review a graph decimation algorithm, called "leaf-removal", which can be used to evaluate the feed...
M. Cosentino Lagomarsino, P. Jona, B. Bassetti
ICPR
2008
IEEE
16 years 7 months ago
Automatic bi-layer video segmentation based on sensor fusion
We propose a new solution to the problem of bilayer video segmentation in terms of both, hardware design and algorithmic solution. At the data acquisition stage, we combine color ...
Pierre Boulanger, Qiong Wu, Walter F. Bischof
STOC
2004
ACM
121views Algorithms» more  STOC 2004»
16 years 6 months ago
Lower bounds for dynamic connectivity
We prove an (lg n) cell-probe lower bound on maintaining connectivity in dynamic graphs, as well as a more general trade-off between updates and queries. Our bound holds even if t...
Mihai Patrascu, Erik D. Demaine
ICPR
2008
IEEE
16 years 7 months ago
Segmentation by combining parametric optical flow with a color model
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...
Adrian Ulges, Thomas M. Breuel
148
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IJCNN
2006
IEEE
16 years 5 days 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...