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» On robust cycle bases
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215
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ML
2002
ACM
163views Machine Learning» more  ML 2002»
15 years 6 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
185
Voted
TIT
1998
121views more  TIT 1998»
15 years 6 months ago
Blind Multiuser Detection: A Subspace Approach
—A new multiuser detection scheme based on signal subspace estimation is proposed. It is shown that under this scheme, both the decorrelating detector and the linear minimummean-...
Xiaodong Wang, H. Vincent Poor
166
Voted
TMI
1998
128views more  TMI 1998»
15 years 6 months ago
Fully Automatic Segmentation of the Brain in MRI
— A robust fully automatic method for segmenting the brain from head magnetic resonance (MR) images has been developed, which works even in the presence of radio frequency (RF) i...
M. Stella Atkins, Blair T. Mackiewich
TIP
2002
169views more  TIP 2002»
15 years 6 months ago
On the origin of the bilateral filter and ways to improve it
Abstract--Additive noise removal from a given signal is an important problem in signal processing. Among the most appealing aspects of this field are the ability to refer it to a w...
Michael Elad
220
Voted
TSMC
2002
134views more  TSMC 2002»
15 years 6 months ago
Incorporating soft computing techniques into a probabilistic intrusion detection system
There are a lot of industrial applications that can be solved competitively by hard computing, while still requiring the tolerance for imprecision and uncertainty that can be explo...
Sung-Bae Cho