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» EM in High Dimensional Spaces
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CVPR
2008
IEEE
16 years 23 days ago
Margin-based discriminant dimensionality reduction for visual recognition
Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
Hakan Cevikalp, Bill Triggs, Frédéri...
ICPR
2008
IEEE
15 years 5 months ago
Joint segmentation and registration of elastically deformable objects
We present a new approach to the general problem of template-based segmentation, detection, and registration. This joint problem is highly nonlinear and high dimensional, due to t...
Gilad Cohen, Joseph M. Francos, Rami Hagege
NAACL
2001
15 years 4 days ago
Chunking with Support Vector Machines
We apply Support Vector Machines (SVMs) to identify English base phrases (chunks). SVMs are known to achieve high generalization performance even with input data of high dimension...
Taku Kudo, Yuji Matsumoto
CSDA
2008
158views more  CSDA 2008»
14 years 10 months ago
Outlier identification in high dimensions
A computationally fast procedure for identifying outliers is presented, that is particularly effective in high dimensions. This algorithm utilizes simple properties of principal c...
Peter Filzmoser, Ricardo A. Maronna, Mark Werner
JMLR
2010
105views more  JMLR 2010»
14 years 5 months ago
A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra
Projection Reconstruction Nuclear Magnetic Resonance (PR-NMR) is a new technique to generate multi-dimensional NMR spectra, which have discrete features that are relatively sparse...
Ji Won Yoon, Simon P. Wilson, K. Hun Mok