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» On Partitional Labelings of Graphs
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PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
14 years 3 months ago
oddball: Spotting Anomalies in Weighted Graphs
Given a large, weighted graph, how can we find anomalies? Which rules should be violated, before we label a node as an anomaly? We propose the OddBall algorithm, to find such nod...
Leman Akoglu, Mary McGlohon, Christos Faloutsos
ENDM
2008
114views more  ENDM 2008»
13 years 10 months ago
Strong oriented chromatic number of planar graphs without cycles of specific lengths
A strong oriented k-coloring of an oriented graph G is a homomorphism from G to H having k vertices labelled by the k elements of an abelian additive group M, such that for any p...
Mickaël Montassier, Pascal Ochem, Alexandre P...
EMNLP
2010
13 years 8 months ago
Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
Amarnag Subramanya, Slav Petrov, Fernando Pereira
SSDBM
2007
IEEE
131views Database» more  SSDBM 2007»
14 years 4 months ago
Mining RNA Tertiary Motifs with Structure Graphs
We present a novel application of graph database mining to identify tertiary motifs in RNA structures. In od, we abstract an RNA molecule as a labeled graph and use a frequent sub...
Xueyi Wang, Jun Huan, Jack Snoeyink, Wei Wang 0010
PRL
2007
164views more  PRL 2007»
13 years 9 months ago
Retrieval of objects in video by similarity based on graph matching
In this paper, we tackle the problem of matching of objects in video in the context of the rough indexing paradigm. The approach developed is based on matching of region adjacency...
F. Chevalier, Jean-Philippe Domenger, Jenny Benois...