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TMI
2010
164views more  TMI 2010»
14 years 11 months ago
Robust Reconstruction of MRSI Data Using a Sparse Spectral Model and High Resolution MRI Priors
We introduce a novel algorithm to address the challenges in magnetic resonance (MR) spectroscopic imaging. In contrast to classical sequential data processing schemes, the proposed...
Ramin Eslami, Mathews Jacob
CORR
2011
Springer
163views Education» more  CORR 2011»
14 years 8 months ago
Suboptimal Solution Path Algorithm for Support Vector Machine
We consider a suboptimal solution path algorithm for the Support Vector Machine. The solution path algorithm is an effective tool for solving a sequence of a parametrized optimiz...
Masayuki Karasuyama, Ichiro Takeuchi
CORR
2011
Springer
194views Education» more  CORR 2011»
14 years 8 months ago
Sparse approximation property and stable recovery of sparse signals from noisy measurements
—In this paper, we introduce a sparse approximation property of order s for a measurement matrix A: xs 2 ≤ D Ax 2 + β σs(x) √ s for all x, where xs is the best s-sparse app...
Qiyu Sun
ICASSP
2011
IEEE
14 years 8 months ago
Robust localization of multiple sources in reverberant environments using EB-ESPRIT with spherical microphone arrays
Spherical microphone array eigenbeam (EB)-ESPRIT gives an elegant closed-form solution for 3D broadband source localization based on the spherical harmonics (eigenbeam) framework....
Haohai Sun, Heinz Teutsch, Edwin Mabande, Walter K...
ICASSP
2011
IEEE
14 years 8 months ago
Co-clustering as multilinear decomposition with sparse latent factors
The K-means clustering problem seeks to partition the columns of a data matrix in subsets, such that columns in the same subset are ‘close’ to each other. The co-clustering pr...
Evangelos E. Papalexakis, Nicholas D. Sidiropoulos