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» Projection for pattern recognition
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SLSFS
2005
Springer
14 years 1 months ago
Random Projection, Margins, Kernels, and Feature-Selection
Random projection is a simple technique that has had a number of applications in algorithm design. In the context of machine learning, it can provide insight into questions such as...
Avrim Blum
MCS
2006
Springer
13 years 7 months ago
Variable projections neural network training
8 The training of some types of neural networks leads to separable non-linear least squares problems. These problems may be9 ill-conditioned and require special techniques. A robus...
V. Pereyra, G. Scherer, F. Wong
SEBD
2003
98views Database» more  SEBD 2003»
13 years 9 months ago
PAtterns for Next-generation DAtabase systems: preliminary results of the PANDA project
Nowadays, the vast volume of collected digital data obliges us to employ processing methods like pattern recognition and data mining in order to reduce the complexity of data manag...
Ilaria Bartolini, Elisa Bertino, Barbara Catania, ...
TASLP
2002
84views more  TASLP 2002»
13 years 7 months ago
Maximum likelihood multiple subspace projections for hidden Markov models
The first stage in many pattern recognition tasks is to generate a good set of features from the observed data. Usually, only a single feature space is used. However, in some compl...
Mark J. F. Gales
PR
2007
91views more  PR 2007»
13 years 7 months ago
Image reconstruction from limited range projections using orthogonal moments
A set of orthonormal polynomials is proposed for image reconstruction from projection data. The relationship between the projection moments and image moments is discussed in detai...
Huazhong Shu, Jian Zhou, Guo-Niu Han, Limin Luo, J...