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PR
2007
139views more  PR 2007»
13 years 8 months ago
Learning the kernel matrix by maximizing a KFD-based class separability criterion
The advantage of a kernel method often depends critically on a proper choice of the kernel function. A promising approach is to learn the kernel from data automatically. In this p...
Dit-Yan Yeung, Hong Chang, Guang Dai
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
13 years 7 months ago
Efficient Nonnegative Matrix Factorization with Random Projections
The recent years have witnessed a surge of interests in Nonnegative Matrix Factorization (NMF) in data mining and machine learning fields. Despite its elegant theory and empirical...
Fei Wang, Ping Li
CORR
2010
Springer
94views Education» more  CORR 2010»
13 years 6 months ago
The Stability of Low-Rank Matrix Reconstruction: a Constrained Singular Value View
The stability of low-rank matrix reconstruction is investigated in this paper. The -constrained minimal singular value ( -CMSV) of the measurement operator is shown to determine t...
Gongguo Tang, Arye Nehorai
ICASSP
2011
IEEE
13 years 26 days ago
Robust adaptive beamforming based on jointly estimating covariance matrix and steering vector
In this paper, a new adaptive beamforming algorithm with joint robustness against covariance matrix uncertainty as well as steering vector mismatch is proposed. First, the theoret...
Yujie Gu, Amir Leshem
SIPS
2007
IEEE
14 years 3 months ago
Efficient Function Evaluations with Lookup Tables for Structured Matrix Operations
A hardware ef cient approach is introduced for elementary function evaluations in certain structured matrix computations. It is a comprehensive approach that utilizes lookup table...
Kanwaldeep Sobti, Lanping Deng, Chaitali Chakrabar...