Results 121 to 130 of about 453 (143)
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Exact SDP relaxations for classes of nonlinear semidefinite programming problems
Operations Research Letters, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guoyin Li, Vaithilingam Jeyakumar
exaly +2 more sources
2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU), 2007
In this paper, we study a new semidefinite programming (SDP) formulation to improve optimization efficiency for large margin estimation (LME) of HMMs in speech recognition. We re-formulate the same LME problem as smaller-scale SDP problems to speed up the SDP-based LME training, especially for large model sets.
Hui Jiang
exaly +2 more sources
In this paper, we study a new semidefinite programming (SDP) formulation to improve optimization efficiency for large margin estimation (LME) of HMMs in speech recognition. We re-formulate the same LME problem as smaller-scale SDP problems to speed up the SDP-based LME training, especially for large model sets.
Hui Jiang
exaly +2 more sources
IEEE Transactions on Antennas and Propagation, 2008
A novel robust adaptive beamformer, formulated as a semidefinite programming (SDP) problem, is proposed in this paper. With new constraints on the magnitude response, the beamwidth and response ripple of the robust response region can be well controlled.
Meng Hwa Er, Zhu Liang Yu, Wee Ser
exaly +2 more sources
A novel robust adaptive beamformer, formulated as a semidefinite programming (SDP) problem, is proposed in this paper. With new constraints on the magnitude response, the beamwidth and response ripple of the robust response region can be well controlled.
Meng Hwa Er, Zhu Liang Yu, Wee Ser
exaly +2 more sources
2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2004
This paper proposes a new method for designing digital all-pass filters with a minimax design criterion using semidefinite programming (SDP). The frequency specification is first formulated as a set of linear matrix inequalities (LMI), which is a bilinear function of the filter coefficients and the ripple to be minimized.
Pun, CKS, Chan, SC
openaire +2 more sources
This paper proposes a new method for designing digital all-pass filters with a minimax design criterion using semidefinite programming (SDP). The frequency specification is first formulated as a set of linear matrix inequalities (LMI), which is a bilinear function of the filter coefficients and the ripple to be minimized.
Pun, CKS, Chan, SC
openaire +2 more sources
Error Bounds and Singularity Degree in Semidefinite Programming
SIAM Journal on Optimization, 2021Henry Wolkowicz
exaly
Motion Parameter Estimation for Mobile Sources Using Semidefinite Programming
IEEE Transactions on Mobile Computing, 2023Hengnian Qi, Xiaoping Wu
exaly
Multistage network data envelopment analysis: Semidefinite programming approach
Journal of the Operational Research Society, 2019Linyan Zhang, Chuanyin Guo
exaly
A Unified Class of Directly Solvable Semidefinite Programming Problems
Annals of Operations Research, 2005Masakazu Muramatsu
exaly
An Exact Duality Theory for Semidefinite Programming Based on Sums of Squares
Mathematics of Operations Research, 2013Markus Schweighofer, Igor Klep
exaly