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TSMC
2010
14 years 9 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris
ICASSP
2011
IEEE
14 years 6 months ago
Recovery of sparse perturbations in Least Squares problems
We show that the exact recovery of sparse perturbations on the coefficient matrix in overdetermined Least Squares problems is possible for a large class of perturbation structure...
Mert Pilanci, Orhan Arikan
ICASSP
2011
IEEE
14 years 6 months ago
Fast estimation of the state of the power grid using synchronized phasor measurements
—Both the communication limitation and the measurement properties based algorithm become the bottleneck of enhancing the traditional power system state estimation speed. The avai...
Tao Yang, Anjan Bose
ICASSP
2011
IEEE
14 years 6 months ago
Robust secondary multicast transmit beamforming for cognitive radio networks under imperfect channel state information
Consider a robust downlink beamforming optimization problem for secondary multicast transmission in a multiple-input multiple-output (MIMO) spectrum sharing cognitive radio (CR) n...
Yongwei Huang, Qiang Li, Wing-Kin Ma, Shuzhong Zha...
ICASSP
2011
IEEE
14 years 6 months ago
Multiple kernel nonnegative matrix factorization
Kernel nonnegative matrix factorization (KNMF) is a recent kernel extension of NMF, where matrix factorization is carried out in a reproducing kernel Hilbert space (RKHS) with a f...
Shounan An, Jeong-Min Yun, Seungjin Choi