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» Local Dimensionality Reduction
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125
Voted
TSMC
2008
182views more  TSMC 2008»
15 years 22 hour ago
Incremental Linear Discriminant Analysis for Face Recognition
Abstract--Dimensionality reduction methods have been successfully employed for face recognition. Among the various dimensionality reduction algorithms, linear (Fisher) discriminant...
Haitao Zhao, Pong Chi Yuen
90
Voted
CDC
2008
IEEE
100views Control Systems» more  CDC 2008»
15 years 7 months ago
A structure preserving minimal representation of a nonlinear port-Hamiltonian system
— In this paper an approach to reduce nonlinear non-observable and non-strongly accessible port-Hamiltonian systems to an observable and strongly accessible portHamiltonian syste...
Jacquelien M. A. Scherpen, Arjan van der Schaft
ECCV
2008
Springer
16 years 2 months ago
Three Dimensional Curvilinear Structure Detection Using Optimally Oriented Flux
Abstract. This paper proposes a novel curvilinear structure detector, called Optimally Oriented Flux (OOF). OOF finds an optimal axis on which image gradients are projected in orde...
Max W. K. Law, Albert C. S. Chung
102
Voted
UAI
2000
15 years 1 months ago
The Anchors Hierarchy: Using the Triangle Inequality to Survive High Dimensional Data
This paper is about the use of metric data structures in high-dimensionalor non-Euclidean space to permit cached sufficientstatisticsaccelerationsof learning algorithms. It has re...
Andrew W. Moore
130
Voted
VLDB
2005
ACM
136views Database» more  VLDB 2005»
15 years 6 months ago
On k-Anonymity and the Curse of Dimensionality
In recent years, the wide availability of personal data has made the problem of privacy preserving data mining an important one. A number of methods have recently been proposed fo...
Charu C. Aggarwal