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» The Global Dimensionality of Face Space
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MOC
2000
77views more  MOC 2000»
13 years 8 months ago
Ultraconvergence of the patch recovery technique II
The ultraconvergence property of a gradient recovery technique proposed by Zienkiewicz and Zhu is analyzed for the Laplace equation in the two dimensional setting. Under the assump...
Zhimin Zhang
BROADNETS
2007
IEEE
14 years 2 months ago
Optimizing dimensionality and accelerating landmark positioning for coordinates based RTT predictions
Abstract— In this paper we analyze the positioning of landmarks in coordinates-based Internet distance prediction approaches with focus on Global Network Positioning (GNP). We sh...
Dragan Milic, Torsten Braun
PAMI
2006
134views more  PAMI 2006»
13 years 8 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee
ICIP
1997
IEEE
14 years 10 months ago
Using the Fourier Slice Theorem for Representation of Object Views and Models with application to Face Recognition
A novel method unifying viewer and model centered approaches for representing structurally complex 3-D objects like human faces is presented. The uni ed 3D frequency-domain repres...
Dibyendu Nandy, Jezekiel Ben-Arie
ICMCS
2006
IEEE
160views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Selecting Kernel Eigenfaces for Face Recognition with One Training Sample Per Subject
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
Jie Wang, Konstantinos N. Plataniotis, Anastasios ...