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NIPS
2003
15 years 1 months ago
Kernel Dimensionality Reduction for Supervised Learning
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
91
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CPHYSICS
2007
93views more  CPHYSICS 2007»
14 years 12 months ago
Convergence rate of dimension reduction in Bose-Einstein condensates
In this paper, we study dimension reduction of the three-dimensional (3D) Gross–Pitaevskii equation (GPE) modeling Bose–Einstein condensation under different limiting interact...
Weizhu Bao, Yunyi Ge, Dieter Jaksch, Peter A. Mark...
SAC
2008
ACM
14 years 11 months ago
Sensor stream reduction for clustered wireless sensor networks
This work presents the use of sensor stream reduction algorithms in clustered wireless sensor networks (WSNs), where the cluster head node is responsible to reduce the amount of d...
André L. L. de Aquino, Carlos Mauricio S. F...
FTML
2010
159views more  FTML 2010»
14 years 10 months ago
Dimension Reduction: A Guided Tour
We give a tutorial overview of several geometric methods for dimension reduction. We divide the methods into projective methods and methods that model the manifold on which the da...
Christopher J. C. Burges
ICPR
2008
IEEE
16 years 1 months ago
Local Regularized Least-Square Dimensionality Reduction
In this paper, we propose a new nonlinear dimensionality reduction algorithm by adopting regularized least-square criterion on local areas of the data distribution. We first propo...
Changshui Zhang, Yangqing Jia