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» On the Vulnerability of Large Graphs
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DCOSS
2005
Springer
16 years 2 days 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...
DAGM
2008
Springer
15 years 8 months ago
MAP-Inference for Highly-Connected Graphs with DC-Programming
The design of inference algorithms for discrete-valued Markov Random Fields constitutes an ongoing research topic in computer vision. Large state-spaces, none-submodular energy-fun...
Jörg H. Kappes, Christoph Schnörr
COLING
2008
15 years 8 months ago
Detecting Multiple Facets of an Event using Graph-Based Unsupervised Methods
We propose a new unsupervised method for topic detection that automatically identifies the different facets of an event. We use pointwise Kullback-Leibler divergence along with th...
Pradeep Muthukrishnan, Joshua Gerrish, Dragomir R....
ICMLA
2008
15 years 8 months ago
Graph-Based Multilevel Dimensionality Reduction with Applications to Eigenfaces and Latent Semantic Indexing
Dimension reduction techniques have been successfully applied to face recognition and text information retrieval. The process can be time-consuming when the data set is large. Thi...
Sophia Sakellaridi, Haw-ren Fang, Yousef Saad
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...