Title :
Information-theoretic Feature Selection from Unattributed Graphs
Author :
Bonev, Boyan ; Escolano, Francisco ; Giorgi, Daniela ; Biasotti, Silvia
Author_Institution :
Univ. of Alicante, Alicante, Spain
Abstract :
In this work we evaluate purely structural graph measures for 3D objects classification. We extract spectral features from different Reeb graph representations. Information-theoretic feature selection gives an insight on which are the most relevant features.
Keywords :
graph theory; information theory; pattern classification; 3D objects classification; different Reeb graph representations; information-theoretic feature selection; structural graph measures; unattributed graphs; Complexity theory; Feature extraction; Kernel; Laplace equations; Measurement; Shape; Three dimensional displays; Classification; Feature extraction; Structural methods for pattern recognition; and analysis; and ranking; reduction; regression;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.233
