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JMLR
2010
130views more  JMLR 2010»
14 years 8 months ago
A Regularization Approach to Nonlinear Variable Selection
In this paper we consider a regularization approach to variable selection when the regression function depends nonlinearly on a few input variables. The proposed method is based o...
Lorenzo Rosasco, Matteo Santoro, Sofia Mosci, Ales...
ICASSP
2011
IEEE
14 years 5 months ago
Adaptive beam tracking for interference alignment in time-varying MIMO interference channels: Conjugate gradient approach
Based on a linear formulation to interference alignment, an adaptive algorithm for interference-aligning beam tracking in time-varying MIMO interference channels is proposed. It i...
Junse Lee, Heejung Yu, Youngchul Sung, Yong H. Lee
ICASSP
2011
IEEE
14 years 5 months ago
Worst-case based robust adaptive beamforming for general-rank signal models using positive semi-definite covariance constraint
In this paper, we develop a new approach to the robust beamforming for general-rank signal models. Our method is based on the worst-case performance optimization using a semi-de n...
Haihua Chen, Alex B. Gershman
SIAMMAX
2011
79views more  SIAMMAX 2011»
14 years 4 months ago
Nonlinear Low Rank Modification of a Symmetric Eigenvalue Problem
This paper studies existence and uniqueness results and interlacing properties of nonlinear modifications of small rank of symmetric eigenvalue problems. Approximation properties ...
Heinrich Voss, Kemal Yildiztekin, Xin Huang
ICIP
2004
IEEE
16 years 3 months ago
Efficient proposal distributions for MCMC image segmentation
We present methods to obtain computationally efficient proposal distributions for Bayesian reversible jump Markov chain Monte Carlo (RJMCMC) based image segmentation. The slow con...
Timo Kostiainen, Jouko Lampinen