Guangzhi Cao
Guangzhi Cao
Staff Computer Vision Scientist, Tesla Inc
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Covariance estimation for high dimensional data vectors using the sparse matrix transform
G Cao, C Bouman
Advances in neural information processing systems 21, 2008
The sparse matrix transform for covariance estimation and analysis of high dimensional signals
G Cao, LR Bachega, CA Bouman
IEEE Transactions on Image Processing 20 (3), 625-640, 2010
Sparse matrix transform for hyperspectral image processing
J Theiler, G Cao, LR Bachega, CA Bouman
IEEE Journal of Selected Topics in Signal Processing 5 (3), 424-437, 2011
An adaptive approach to vehicle license plate localization
G Cao, J Chen, J Jiang
IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society …, 2003
An improved differential evolution algorithm in training and encoding prior knowledge into feedforward networks with application in chemistry
C Chen, D Chen, G Cao
Chemometrics and Intelligent Laboratory Systems 64 (1), 27-43, 2002
Systems and methods for imaging phase selection for computed tomography imaging
J Hsieh, SA Sirohey, RA Nilsen, SN Narayanan, G Cao
US Patent 9,517,042, 2016
Weak signal detection in hyperspectral imagery using sparse matrix transform (SMT) covariance estimation
G Cao, CA Bouman, J Theiler
2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution …, 2009
Noniterative MAP reconstruction using sparse matrix representations
G Cao, CA Bouman, KJ Webb
IEEE transactions on image processing 18 (9), 2085-2099, 2009
Fast signal analysis and decomposition on graphs using the sparse matrix transform
LR Bachega, G Cao, CA Bouman
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
Localization of an absorbing inhomogeneity in a scattering medium in a statistical framework
G Cao, V Gaind, CA Bouman, KJ Webb
Optics letters 32 (20), 3026-3028, 2007
An improved object tracking algorithm based on image correlation
G Cao, J Jiang, J Chen
2003 IEEE International Symposium on Industrial Electronics (Cat. No …, 2003
High dimensional regression using the sparse matrix transform (SMT)
G Cao, Y Guo, CA Bouman
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
Fast space-varying convolution and its application in stray light reduction
J Wei, G Cao, CA Bouman, JP Allebach
Computational Imaging VII 7246, 51-61, 2009
A preliminary investigation of 3D preconditioned conjugate gradient reconstruction for cone-beam CT
L Fu, B De Man, K Zeng, TM Benson, Z Yu, G Cao, JB Thibault
Medical Imaging 2012: Physics of Medical Imaging 8313, 1051-1059, 2012
Method and apparatus for iterative reconstruction
Z Yu, E Drapkin, BKB De Man, JB Thibault, K Zeng, J Hsieh, BE Nett, ...
US Patent 9,020,230, 2015
An algorithm to estimate the object support in truncated images
SS Hsieh, BE Nett, G Cao, NJ Pelc
Medical physics 41 (7), 071908, 2014
Methods and systems for spectral CT imaging
H Gao, T Wang, J Fan, G Cao
US Patent 9,585,626, 2017
System and method for wide cone helical image reconstruction using blending of two reconstructions
G Cao, J Hsieh, BE Nett
US Patent 8,995,735, 2015
Methods and systems for correcting table deflection
G Cao, J Hsieh, JB Thibault, J Fan, KD Sauer
US Patent 9,538,974, 2017
Fast and efficient stored matrix techniques for optical tomography
G Cao, CA Bouman, KJ Webb
2006 Fortieth Asilomar Conference on Signals, Systems and Computers, 156-160, 2006
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