Search Results - "Majorization–minimization algorithm"

Majorization–minimization algorithms for nonsmoothly penalized objective functions by Schifano, Elizabeth D., Strawderman, Robert L., Wells, Martin T.

Get full text

Exact minimum rank approximation via Schatten p-norm minimization by Liu, Lu, Huang, Wei, Chen, Di-Rong

“… Recht and Fazel concluded that nuclear norm minimization subject to affine constraints is equivalent to rank minimization under a certain condition in terms of the rank-restricted isometry property…”
Get full text

D-optimal sensor selection in the presence of correlated measurement noise by Uciński, Dariusz

“…•A relaxation technique to sensor selection for ordinary least squares is proposed.•The problem is reduced to a sequence of convex optimum experimental design…”
Get full text

Secrecy Throughput Maximization for IRS-aided MIMO Wireless Powered Communication Networks by Shi, Weiping, Wu, Qingqing, Xiao, Fu, Shu, Feng, Wang, Jiangzhou

“…), the information transmit beamforming matrix of users and the phase shifts of IRS in DL/UL, subject to constraints of energy/information transmit power at the hybrid AP/users and that of unit-modulus…”
Get full text

Multi-Group Multicasting Using Reconfigurable Intelligent Surfaces: A Deep Learning Approach by Ding, Chunxia, Jin, Weijie, Li, Xiao, Matthaiou, Michail, Yi, Xinping, Jin, Shi

“… This paper considers a downlink multi-group multicast system underpinned by multiple RISs and aims to maximize the sum spectral efficiency subject to an overall transmit power constraint…”
Get full text

Hybrid Precoding Design for Subarray-Structure-Enabled mmWave URLLC System by Liu, Zhiren, Shen, Yuan, Qiang, Mengye, Wang, Gang, Wang, Jun-Bo

“… In our system, an achievable rate maximization problem is established by jointly optimizing the analog and digital precoders at the base station, subject to the constraint of the total power…”
Get full text

Noisy Depth Maps Fusion for Multiview Stereo Via Matrix Completion by Deng, Yue, Liu, Yebin, Dai, Qionghai, Zhang, Zengke, Wang, Yao

“… Therefore, an intuitive approach to complete the matrix is by minimizing its rank subject to consistency with observed…”
Get full text

Training Data Subset Selection for Regression with Controlled Generalization Error by Sivasubramanian, Durga, Iyer, Rishabh, Ramakrishnan, Ganesh, De, Abir

“… trainable parameters and the subset of training data, subject to error bounds on the validation set. We tackle this problem…”
Get full text

Robust principal component analysis via re-weighted minimization algorithms by Katselis, Dimitrios, Beck, Carolyn L.

“…Many standard procedures in statistics such as linear regression and principal component analysis (PCA) are inconsistent in high-dimensional settings, where…”
Get full text