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» A Practical Method for the Sparse Resultant
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GLOBECOM
2009
IEEE
15 years 1 months ago
Searching in the Delta Lattice: An Efficient MIMO Detection for Iterative Receivers
This paper introduces a new framework of the multiple-input multiple-output (MIMO) detection in iterative receivers. Unlike the conventional methods processing with symbol lattice,...
I-Wei Lai, Chun-Hao Liao, Ernst Martin Witte, Davi...
BMEI
2009
IEEE
14 years 11 months ago
Cell Clumping Quantification and Automatic Area Classification in Peripheral Blood Smear Images
Cell enumeration in peripheral blood smears and cell are widely applied in biological and pathological practice. Not every area in the smear is appropriate for enumeration due to ...
Wei Xiong, S. H. Ong, Christina Kang, Joo-Hwee Lim...
CVPR
2000
IEEE
15 years 12 months ago
Shape-Based 3D Surface Correspondence Using Geodesics and Local Geometry
This paper describes a new method for determining correspondence between points on pairs of surfaces based on shape using a combination of geodesic distance and surface curvature....
Yongmei Wang, Bradley S. Peterson, Lawrence H. Sta...
ICASSP
2010
IEEE
14 years 10 months ago
Semi-Supervised Hyperspectral Unmixing via the Weighted Lasso
In this paper a novel approach for semi-supervised hyperspectral unmixing is presented. First, it is shown that this problem inherently accepts a sparse solution. Then, based on t...
Konstantinos Themelis, Athanasios A. Rontogiannis,...
SIAMMAX
2010
92views more  SIAMMAX 2010»
14 years 4 months ago
Estimating the Backward Error in LSQR
We propose practical stopping criteria for the iterative solution of sparse linear least squares (LS) problems. Although we focus our discussion on the algorithm LSQR of Paige and ...
Pavel Jiránek, David Titley-Péloquin