Sciweavers

1722 search results - page 121 / 345
» On the sample mean of graphs
Sort
View
DAGSTUHL
2003
15 years 7 months ago
Feature tracking with skeleton graphs
One way to visualize large time-dependent data sets, is by visualization of the evolution of features in these data. The process consists of four steps: feature extraction, featur...
Benjamin Vrolijk, Freek Reinders, Frits H. Post
ENTCS
2007
114views more  ENTCS 2007»
15 years 6 months ago
A Graph Abstract Machine Describing Event Structure Composition
Abstract Machine Describing Event Structure Composition Claudia Faggian and Mauro Piccolo 1 ,2 ,3 Dipartimento di Matematica Pura e Applicata – PPS Universit´a di Padova – Par...
Claudia Faggian, Mauro Piccolo
COMPSAC
2011
IEEE
14 years 6 months ago
Precise Propagation of Fault-Failure Correlations in Program Flow Graphs
Abstract—Statistical fault localization techniques find suspicious faulty program entities in programs by comparing passed and failed executions. Existing studies show that such ...
Zhenyu Zhang, W. K. Chan, T. H. Tse, Bo Jiang
KDD
2007
ACM
227views Data Mining» more  KDD 2007»
16 years 6 months ago
Fast best-effort pattern matching in large attributed graphs
We focus on large graphs where nodes have attributes, such as a social network where the nodes are labelled with each person's job title. In such a setting, we want to find s...
Hanghang Tong, Christos Faloutsos, Brian Gallagher...
ACSC
2009
IEEE
16 years 1 months ago
A ConceptLink Graph for Text Structure Mining
Most text mining methods are based on representing documents using a vector space model, commonly known as a bag of word model, where each document is modeled as a linear vector r...
Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, V...