TY - GEN
T1 - Adaptive graph filtering
T2 - 2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013
AU - Chen, Siheng
AU - Sandryhaila, Aliaksei
AU - Moura, Jose M.F.
AU - Kovacevic, Jelena
PY - 2013
Y1 - 2013
N2 - We present an adaptive graph filtering approach to semi-supervised classification. Adaptive graph filters combine decisions from multiple graph filters using a weighting function that is optimized in a semi-supervised manner. We also demonstrate the multiresolution property of adaptive graph filters by connecting them to the diffusion wavelets. In our experiments, we apply the adaptive graph filters to the classification of online blogs and damage identification in indirect bridge structural health monitoring.
AB - We present an adaptive graph filtering approach to semi-supervised classification. Adaptive graph filters combine decisions from multiple graph filters using a weighting function that is optimized in a semi-supervised manner. We also demonstrate the multiresolution property of adaptive graph filters by connecting them to the diffusion wavelets. In our experiments, we apply the adaptive graph filters to the classification of online blogs and damage identification in indirect bridge structural health monitoring.
UR - http://www.scopus.com/inward/record.url?scp=84897723620&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897723620&partnerID=8YFLogxK
U2 - 10.1109/GlobalSIP.2013.6736906
DO - 10.1109/GlobalSIP.2013.6736906
M3 - Conference contribution
AN - SCOPUS:84897723620
SN - 9781479902484
T3 - 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
SP - 427
EP - 430
BT - 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
Y2 - 3 December 2013 through 5 December 2013
ER -