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» A Framework for Visualising Large Graphs
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ISBI
2009
IEEE
15 years 6 months ago
Cell Tracking and Segmentation in Electron Microscopy Images Using Graph Cuts
Understanding neural connectivity and structures in the brain requires detailed 3D anatomical models, and such an understanding is essential to the study of the nervous system. Ho...
Huei-Fang Yang, Yoonsuck Choe
CAV
2010
Springer
239views Hardware» more  CAV 2010»
15 years 1 months ago
Universal Causality Graphs: A Precise Happens-Before Model for Detecting Bugs in Concurrent Programs
Triggering errors in concurrent programs is a notoriously difficult task. A key reason for this is the behavioral complexity resulting from the large number of interleavings of op...
Vineet Kahlon, Chao Wang
ALGORITHMICA
2011
14 years 6 months ago
All-Pairs Bottleneck Paths in Vertex Weighted Graphs
Let G = (V, E, w) be a directed graph, where w : V → R is an arbitrary weight function defined on its vertices. The bottleneck weight, or the capacity, of a path is the smalles...
Asaf Shapira, Raphael Yuster, Uri Zwick
SCAM
2008
IEEE
15 years 6 months ago
User-Input Dependence Analysis via Graph Reachability
Bug-checking tools have been used with some success in recent years to find bugs in software. For finding bugs that can cause security vulnerabilities, bug checking tools requir...
Bernhard Scholz, Chenyi Zhang, Cristina Cifuentes
ICML
2007
IEEE
16 years 19 days ago
Spectral feature selection for supervised and unsupervised learning
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
Zheng Zhao, Huan Liu