702 search results - page 15 / 141 » Boosting in the presence of noise |
CORR
2010
Springer
13 years 3 months ago
2010
Springer
The goal of this paper is the development of a novel approach for the problem of Noise Removal, based on the theory of Reproducing Kernels Hilbert Spaces (RKHS). The problem is ca...
GLOBECOM
2007
IEEE
14 years 3 months ago
2007
IEEE
— Optimal pilot design and placement for channel estimation in Multiple-input Multiple-output (MIMO) Orthogonal Frequency-Division Multiplexing (OFDM) systems in the presence of ...
ICMLA
2004
13 years 10 months ago
2004
AdaBoost rarely suffers from overfitting problems in low noise data cases. However, recent studies with highly noisy patterns clearly showed that overfitting can occur. A natural s...
MICCAI
2009
Springer
14 years 9 months ago
2009
Springer
We propose a novel method for deformable tensor?to?tensor registration of Diffusion Tensor Imaging (DTI) data. Our registration method considers estimated diffusion tensors as norm...
COLT
2005
Springer
14 years 2 months ago
2005
Springer
In recent work Long and Servedio [LS05] presented a “martingale boosting” algorithm that works by constructing a branching program over weak classifiers and has a simple anal...