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CORR
2007
Springer
93views Education» more  CORR 2007»
15 years 4 months ago
Opportunistic Scheduling and Beamforming for MIMO-SDMA Downlink Systems with Linear Combining
Opportunistic scheduling and beamforming schemes are proposed for multiuser MIMO-SDMA downlink systems with linear combining in this work. Signals received from all antennas of ea...
Man-On Pun, Visa Koivunen, H. Vincent Poor
ICASSP
2009
IEEE
15 years 10 months ago
Inpainting with sparse linear combinations of exemplars
We introduce a new exemplar-based inpainting algorithm that represents the region to be inpainted as a sparse linear combination of example blocks, extracted from the image being ...
Brendt Wohlberg
129
Voted
MCS
2009
Springer
15 years 8 months ago
An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets
The meta-learner MLR (Multi-response Linear Regression) has been proposed as a trainable combiner for fusing heterogeneous baselevel classifiers. Although it has interesting prope...
Chun-Xia Zhang, Robert P. W. Duin
107
Voted
ICC
2007
IEEE
15 years 10 months ago
Optimal Diversity Combining Based on Linear Estimation of Rician Fading Channels
—Optimal receiver diversity combining employing linear channel estimation is examined. Based on the statistical properties of pilot-assisted least-squares (LS) and minimum mean s...
Jingxian Wu, Chengshan Xiao
152
Voted
DAGM
2006
Springer
15 years 7 months ago
Linear vs. Nonlinear Feature Combination for Saliency Computation: A Comparison with Human Vision
In the heart of the computer model of visual attention, an interest or saliency map is derived from an input image in a process that encompasses several data combination steps. Whi...
Nabil Ouerhani, Alexandre Bur, Heinz Hügli