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» Optimal Solutions for Sparse Principal Component Analysis
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68
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CAGD
2007
119views more  CAGD 2007»
14 years 9 months ago
Principal curvatures from the integral invariant viewpoint
The extraction of curvature information for surfaces is a basic problem of Geometry Processing. Recently an integral invariant solution of this problem was presented, which is bas...
Helmut Pottmann, Johannes Wallner, Yong-Liang Yang...
CNSR
2011
IEEE
320views Communications» more  CNSR 2011»
14 years 1 months ago
A Structural Analysis of Network Delay
—Network delay is a crucial metric for evaluating the state of the network. We present in this paper a structural analysis of network delay, based on delay measurements of a back...
Atef Abdelkefi, Yuming Jiang
75
Voted
GECCO
2003
Springer
118views Optimization» more  GECCO 2003»
15 years 2 months ago
Distributed Probabilistic Model-Building Genetic Algorithm
In this paper, a new model of Probabilistic Model-Building Genetic Algorithms (PMBGAs), Distributed PMBGA (DPMBGA), is proposed. In the DPMBGA, the correlation among the design var...
Tomoyuki Hiroyasu, Mitsunori Miki, Masaki Sano, Hi...
NIPS
2003
14 years 11 months ago
Learning to Find Pre-Images
We consider the problem of reconstructing patterns from a feature map. Learning algorithms using kernels to operate in a reproducing kernel Hilbert space (RKHS) express their solu...
Gökhan H. Bakir, Jason Weston, Bernhard Sch&o...
CVPR
2003
IEEE
15 years 11 months ago
Constrained Subspace Modelling
When performing subspace modelling of data using Principal Component Analysis (PCA) it may be desirable to constrain certain directions to be more meaningful in the context of the...
Jaco Vermaak, Patrick Pérez