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» HITS is Principal Components Analysis
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117
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AMSTERDAM
2009
14 years 10 months ago
Natural Color Categories Are Convex Sets
The paper presents a statistical evaluation of the typological data about color naming systems across the languages of the world that have been obtained by the World Color Survey....
Gerhard Jäger
181
Voted
ORL
2011
14 years 7 months ago
Convex approximations to sparse PCA via Lagrangian duality
We derive a convex relaxation for cardinality constrained Principal Component Analysis (PCA) by using a simple representation of the L1 unit ball and standard Lagrangian duality. ...
Ronny Luss, Marc Teboulle
APGV
2010
ACM
238views Visualization» more  APGV 2010»
15 years 1 months ago
A morphing-based analysis of the perceptual distance metric of human faces
This paper presents a psychophysical analysis of the discrimination thresholds of human faces that are varied along different directions in Face Space. Generated by a 3D Morphable...
Nadine Gummersbach, Volker Blanz
97
Voted
IMC
2005
ACM
15 years 6 months ago
Network Anomography
Anomaly detection is a first and important step needed to respond to unexpected problems and to assure high performance and security in IP networks. We introduce a framework and ...
Yin Zhang, Zihui Ge, Albert G. Greenberg, Matthew ...
KDD
2004
ACM
216views Data Mining» more  KDD 2004»
16 years 1 months ago
GPCA: an efficient dimension reduction scheme for image compression and retrieval
Recent years have witnessed a dramatic increase in the quantity of image data collected, due to advances in fields such as medical imaging, reconnaissance, surveillance, astronomy...
Jieping Ye, Ravi Janardan, Qi Li