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» HITS is Principal Components Analysis
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PKDD
2010
Springer
160views Data Mining» more  PKDD 2010»
14 years 11 months ago
Sparse Unsupervised Dimensionality Reduction Algorithms
Abstract. Principal component analysis (PCA) and its dual—principal coordinate analysis (PCO)—are widely applied to unsupervised dimensionality reduction. In this paper, we sho...
Wenjun Dou, Guang Dai, Congfu Xu, Zhihua Zhang
299
Voted
CNSR
2011
IEEE
320views Communications» more  CNSR 2011»
14 years 4 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
SMA
2009
ACM
141views Solid Modeling» more  SMA 2009»
15 years 5 months ago
Robust principal curvatures using feature adapted integral invariants
Principal curvatures and principal directions are fundamental local geometric properties. They are well defined on smooth surfaces. However, due to the nature as higher order di...
Yu-Kun Lai, Shi-Min Hu, Tong Fang
IJCNN
2006
IEEE
15 years 6 months ago
Generalizing Independent Component Analysis for Two Related Data Sets
— We introduce in this paper methods for finding mutually corresponding dependent components from two different but related data sets in an unsupervised (blind) manner. The basi...
Juha Karhunen, Tomas Ukkonen
93
Voted
IJCV
2008
155views more  IJCV 2008»
15 years 14 days ago
Fast Transformation-Invariant Component Analysis
For software and more illustrations: http://www.psi.utoronto.ca/anitha/fastTCA.htm Dimensionality reduction techniques such as principal component analysis and factor analysis are...
Anitha Kannan, Nebojsa Jojic, Brendan J. Frey