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DATESO
2009
101views Database» more  DATESO 2009»
13 years 5 months ago
Dimension Reduction Methods for Iris Recognition
In this paper, we compare performance of several dimension reduction techniques, namely LSI, FastMap, and SDD in Iris recognition. We compare the quality of these methods from both...
Pavel Moravec, Václav Snásel
CPHYSICS
2007
93views more  CPHYSICS 2007»
13 years 7 months ago
Convergence rate of dimension reduction in Bose-Einstein condensates
In this paper, we study dimension reduction of the three-dimensional (3D) Gross–Pitaevskii equation (GPE) modeling Bose–Einstein condensation under different limiting interact...
Weizhu Bao, Yunyi Ge, Dieter Jaksch, Peter A. Mark...
DCC
2008
IEEE
14 years 7 months ago
Dimension Reduction and Expansion: Distributed Source Coding in a Noisy Environment
We studied the problem of distributed coding and transmission of intercorrelated sources with memory. Different from the conventional distributed source coding structure which rel...
Anna N. Kim, Fredrik Hekland
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
13 years 9 months ago
Making k-means Even Faster
The k-means algorithm is widely used for clustering, compressing, and summarizing vector data. In this paper, we propose a new acceleration for exact k-means that gives the same a...
Greg Hamerly
TIP
2010
182views more  TIP 2010»
13 years 2 months ago
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...