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127
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NIPS
2003
15 years 4 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
CPHYSICS
2007
93views more  CPHYSICS 2007»
15 years 3 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...
127
Voted
SAC
2008
ACM
15 years 2 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...
134
Voted
FTML
2010
159views more  FTML 2010»
15 years 2 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
3DIM
2003
IEEE
15 years 8 months ago
Next View Planning for a Combination of Passive and Active Acquisition Techniques
In order to create a complete three-dimensional model of an object based on its two-dimensional images, the images have to be acquired from different views. An increasing number o...
Robert Sablatnig, Srdan Tosovic, Martin Kampel