Seung-Jean Kim
Title
Cited by
Cited by
Year
An Interior-Point Method for Large-Scale-Regularized Least Squares
SJ Kim, K Koh, M Lustig, S Boyd, D Gorinevsky
IEEE journal of selected topics in signal processing 1 (4), 606-617, 2007
22822007
A tutorial on geometric programming
S Boyd, SJ Kim, L Vandenberghe, A Hassibi
Optimization and engineering 8 (1), 67, 2007
11412007
Distributed average consensus with least-mean-square deviation
L Xiao, S Boyd, SJ Kim
Journal of parallel and distributed computing 67 (1), 33-46, 2007
10472007
An interior-point method for large-scale l1-regularized logistic regression
K Koh, SJ Kim, S Boyd
Journal of Machine learning research 8 (Jul), 1519-1555, 2007
7902007
Trend Filtering
SJ Kim, K Koh, S Boyd, D Gorinevsky
SIAM review 51 (2), 339-360, 2009
5542009
A game-theoretic approach to power allocation in frequency-selective Gaussian interference channels
ST Chung, SJ Kim, J Lee, JM Cioffi
in Proc. IEEE International Symposium on Inform. Theory, Pacifico, 2003
2142003
Digital circuit optimization via geometric programming
SP Boyd, SJ Kim, DD Patil, MA Horowitz
Operations research 53 (6), 899-932, 2005
1992005
Optimal kernel selection in kernel fisher discriminant analysis
SJ Kim, A Magnani, S Boyd
Proceedings of the 23rd international conference on Machine learning, 465-472, 2006
1812006
Condition‐number‐regularized covariance estimation
JH Won, J Lim, SJ Kim, B Rajaratnam
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2013
1192013
Robust beamforming via worst-case SINR maximization
SJ Kim, A Magnani, A Mutapcic, SP Boyd, ZQ Luo
IEEE Transactions on Signal Processing 56 (4), 1539-1547, 2008
1172008
Robust fisher discriminant analysis
SJ Kim, A Magnani, S Boyd
Advances in neural information processing systems, 659-666, 2006
1102006
A fast method for designing time-optimal gradient waveforms for arbitrary k-space trajectories
M Lustig, SJ Kim, JM Pauly
IEEE transactions on medical imaging 27 (6), 866-873, 2008
1042008
l1_ls: A Matlab solver for large-scale l1-regularized least square problems
K Koh
http://www. stanford. edu/~ boyd/l1_ls, 2007
103*2007
Hyperspectral image unmixing via alternating projected subgradients
A Zymnis, SJ Kim, J Skaf, M Parente, S Boyd
2007 Conference Record of the Forty-First Asilomar Conference on Signals …, 2007
832007
An efficient method for compressed sensing
SJ Kim, K Koh, M Lustig, S Boyd
2007 IEEE International Conference on Image Processing 3, III-117-III-120, 2007
822007
A new method for design of robust digital circuits
D Patil, S Yun, SJ Kim, A Cheung, M Horowitz, S Boyd
Sixth international symposium on quality electronic design (isqed'05), 676-681, 2005
77*2005
A minimax theorem with applications to machine learning, signal processing, and finance
SJ Kim, S Boyd
SIAM Journal on Optimization 19 (3), 1344-1367, 2008
722008
Tractable approximate robust geometric programming
KL Hsiung, SJ Kim, S Boyd
Optimization and Engineering 9 (2), 95-118, 2008
612008
GGPLAB: a matlab toolbox for geometric programming
A Mutapcic, K Koh, SJ Kim, S Boyd
Available from www. st anford. edu/boyd/ggplab, 2006
51*2006
A tractable method for robust downlink beamforming in wireless communications
A Mutapcic, SJ Kim, S Boyd
2007 Conference Record of the Forty-First Asilomar Conference on Signals …, 2007
502007
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Articles 1–20