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» Empirical comparison of graph classification algorithms
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CVPR
2004
IEEE
14 years 6 months ago
How Features of the Human Face Affect Recognition: A Statistical Comparison of Three Face Recognition Algorithms
Recognition difficulty is statistically linked to ??? subject covariate factors such as age and gender for three face recognition algorithms: principle components analysis, an int...
Geof H. Givens, J. Ross Beveridge, Bruce A. Draper...
WEA
2004
Springer
110views Algorithms» more  WEA 2004»
13 years 10 months ago
A Dynamic Algorithm for Topologically Sorting Directed Acyclic Graphs
Abstract. We consider how to maintain the topological order of a directed acyclic graph (DAG) in the presence of edge insertions and deletions. We present a new algorithm and, alth...
David J. Pearce, Paul H. J. Kelly
ICTAI
2007
IEEE
13 years 11 months ago
A Probabilistic Substructure-Based Approach for Graph Classification
The classification of graph based objects is an important challenge from a knowledge discovery standpoint and has attracted considerable attention recently. In this paper, we pres...
H. D. K. Moonesinghe, Hamed Valizadegan, Samah Jam...
EUROGP
2008
Springer
137views Optimization» more  EUROGP 2008»
13 years 6 months ago
A Comparison of Cartesian Genetic Programming and Linear Genetic Programming
Two prominent genetic programming approaches are the graph-based Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP). Recently, a formal algorithm for construc...
Garnett Carl Wilson, Wolfgang Banzhaf
KDD
2010
ACM
197views Data Mining» more  KDD 2010»
13 years 2 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu