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» Detecting Anomalies in Graphs
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AMS
2005
Springer
107views Robotics» more  AMS 2005»
16 years 17 hour ago
Elastic View Graphs: A new Framework for Sequential 3D-SLAM
This paper presents a new approach for incremental 3D SLAM from segmented range images with unknown feature association. For feature and motion tracking, an any-time interpretation...
Peter Kohlhepp, Marcus Walther
DCOSS
2005
Springer
16 years 7 hour ago
Stably Computable Properties of Network Graphs
We consider a scenario in which anonymous, finite-state sensing devices are deployed in an ad-hoc communication network of arbitrary size and unknown topology, and explore what p...
Dana Angluin, James Aspnes, Melody Chan, Michael J...
CAV
2006
Springer
146views Hardware» more  CAV 2006»
15 years 10 months ago
Termination Analysis with Calling Context Graphs
We introduce calling context graphs and various static and theorem proving based analyses that together provide a powerful method for proving termination of programs written in fea...
Panagiotis Manolios, Daron Vroon
BPM
2008
Springer
122views Business» more  BPM 2008»
15 years 8 months ago
Correcting Deadlocking Service Choreographies Using a Simulation-Based Graph Edit Distance
Abstract. Many work has been conducted to analyze service choreographies to assert manyfold correctness criteria. While errors can be detected automatically, the correction of defe...
Niels Lohmann
SDM
2008
SIAM
120views Data Mining» more  SDM 2008»
15 years 8 months ago
Spatial Scan Statistics for Graph Clustering
In this paper, we present a measure associated with detection and inference of statistically anomalous clusters of a graph based on the likelihood test of observed and expected ed...
Bei Wang, Jeff M. Phillips, Robert Schreiber, Denn...