[12] X. F- He, S^ C. Yan, Y. Hu, P. Niyoesi, and IE. T.
Zhang, 2005. Face recognition using laplacianfaces.
IEEE Transactions on Pattern Analysis and Machine
Intelligence, 27(3), pp. 328—340.
[13] S. Yan, D. Xu, B. Zhang, and H. J. Zhang, 2005.
Graph embedding: A general framework for
dimensionality reduction. In Proc. CVPR 2005.
[14] S. Yan, D. Xu, B. Zhang, H. J. Zhang, Q. Yang, and
S. Lin, 2007. Graph embedding and extensions: A
general framework for dimensionality reduction. /EEE
Transactions on Pattern Analysis and Machine
Intelligence, 29(1), pp. 40-51.
[15] D. Cai, X. F. He, and J. W. Han, 2007. Spectral
Regression for Dimensionality Reduction. Department of
Computer Science, Technical Report | NO.2865,
University of Illinois at Urbana-Champaign.
[16] G. H. Golub and C. F. V. Loan, 1996. Matrix
computations. Johns Hopkins University Press, 3rd
edition.
[17] T. Hastie, R. Tibshirani, J. Friedman, 2001. The
Elements of Statistical Learning: Data Mining, Inference,
and Prediction. New York: Springer-Verlag.
[18] D. Cai, X. F. He, and J. W. Han, 2007. Spectral
regression for dimensionality reduction. Technical report
Computer Science Department, UIUC,
UIUCDCS-R-2007-2856.
[19] D. Cai, X. F. He, J. W. Han, 2008. SRDA: An
efficient algorithm for large scale discriminant analysis.
IEEE Transactions on knowledge and data engineering,
20(1), pp. 1-12.
[20] F. R. K. Chung, 1997. Spectral Graph Theory,
volume 92 of Regional Conference Series in
Mathematics, AMS.
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B3, 2012
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia
MOR
DAN
Cha
KEYW
ABSTR
The ver
other ki
building
detectio
Objectn
airborne
of build
algorith
remotel
adaptive
post 20
results
With th
years, s
importa
managit
many ki
classific
images
vegetati
Automa
structur
these m
be effec
al, 200
al, 200:
for rer
morpho
spectral
profiles
2003). €
method
high-Re
2004).
algorith