Seung-Jean Kim
Seung-Jean Kim
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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
A tutorial on geometric programming
S Boyd, SJ Kim, L Vandenberghe, A Hassibi
Optimization and engineering 8 (1), 67, 2007
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
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
Trend Filtering
SJ Kim, K Koh, S Boyd, D Gorinevsky
SIAM review 51 (2), 339-360, 2009
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
Digital circuit optimization via geometric programming
SP Boyd, SJ Kim, DD Patil, MA Horowitz
Operations research 53 (6), 899-932, 2005
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
Condition‐number‐regularized covariance estimation
JH Won, J Lim, SJ Kim, B Rajaratnam
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2013
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
Robust fisher discriminant analysis
SJ Kim, A Magnani, S Boyd
Advances in neural information processing systems, 659-666, 2006
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
l1_ls: A Matlab solver for large-scale l1-regularized least square problems
K Koh
http://www. stanford. edu/~ boyd/l1_ls, 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
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
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
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
Tractable approximate robust geometric programming
KL Hsiung, SJ Kim, S Boyd
Optimization and Engineering 9 (2), 95-118, 2008
GGPLAB: a matlab toolbox for geometric programming
A Mutapcic, K Koh, SJ Kim, S Boyd
Available from www. st anford. edu/boyd/ggplab, 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
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Artículos 1–20